Extracción de Datos Jobs

We are a recruiting and staffing firm finishing a move from Bullhorn to Crelate. We have Bullhorn's final full database backup (SQL Server 2022, encrypted, about 1.8 GB) and need an experienced SQL Server person to restore it, extract specific data, match it to our existing records, and import it into our Crelate account. WHAT YOU WILL DO 1. Restore the encrypted backup on your own SQL Server instance and confirm it opens. 2. Send us record counts for contacts, companies, jobs, and notes/activities. 3. Export contacts with their email addresses and phone numbers, and export contact notes with the original author and date. 4. Match Bullhorn contacts to our existing Crelate contacts (email first, then name plus company) and create import-ready files that fill only blank emails and phon...

I have a collection of online databases that contain both text and numerical information I need consolidated. Your task is to extract the required fields exactly as they appear—figures, descriptions, and any accompanying notes—and compile everything into a single, well-structured Word document. Accuracy and consistency are critical: the wording, number formats, and ordering must match the source. I will provide the database links, field names to capture, and a simple template so the finished file is ready for internal review and printing. Deliverables: • A complete Word document populated with every requested field, cleanly formatted and free of omissions or transcription errors. • A brief change-log noting any ambiguities or inaccessible records you encount...

I have PowerConnect installed in our SAP landscape and now need an SAP AMAP specialist to finish its configuration—specifically the data collection and reporting settings. The main objective is to automate data-gathering so we stop relying on manual extractions and the system feeds dashboards and alerts in real time. You will review the current setup, fine-tune the collection parameters, activate the right extractors, and build any necessary automation jobs so data flows on a reliable schedule without duplicate loads. While my immediate focus is automation, I’m open to your advice on optimising source definitions and integrity checks if that helps keep the pipeline healthy. Deliverables • Updated PowerConnect configuration transported through Dev → QA → Prod ...

I have a collection of customer records sitting in several PDF documents, and I need every field neatly transferred into a clean spreadsheet. The PDFs hold names, addresses, phone numbers, emails, and a few custom notes; nothing is currently in an editable format. Your task is straightforward: • Open each PDF, extract every customer detail without omission, and place it in a spreadsheet (Excel or Google Sheets—whichever you prefer). • Keep the original order of records and use clear column headings so I can filter and sort later. • Double-check spelling, numbers, and email formats as you go to ensure a 100 % accurate file. I will provide all source PDFs at the outset. Please let me know how many entries you can process per day and the tool you rely on for extraction ...

I need a one-time extraction of contact details from a UK-based website. The pages are publicly accessible, but they sit behind basic pagination and a search filter, so the process may require a crawler that can navigate multiple result pages before harvesting the data. Please capture the following items and export them to a single, tidy Excel workbook (.xlsx): • Email addresses • Phone numbers (normalised to +44 format) • Postal addresses A clean header row, one record per line, and the removal of duplicates are essential. Basic validation—such as checking email syntax and trimming whitespace—will save me time later. I’m comfortable if you choose Python with BeautifulSoup, Scrapy, or Selenium, or another language you prefer, provided the result...

Hello, I am looking for an experienced freelancer to extract publicly available business contact information for 100 business owners in Indonesia and Malaysia, including their phone numbers and email addresses. I will provide a sample list of randomly selected business accounts to help you understand the requirements (2-3 accounts). Please review the samples and send me the extracted contact details for those accounts as a demonstration of your ability to handle the project. Based on the sample results, I will evaluate the accuracy and completeness of your work before proceeding with the full project. Required information: Business name Phone number Email address Please ensure that the information is accurate, organized in an Excel or Google Sheets file, and obtained from publicly ava...

I have a collection of PDF documents that now need to be transformed into a neatly organised digital file through simple copy-paste work. Your role will be to open each PDF, capture the exact text I indicate, and paste it into a clean, consistently formatted spreadsheet or document so the information stays perfectly aligned with the source. Accuracy is the whole point of this job—every character, punctuation mark, and line break must match what appears in the PDF. Please keep an eye out for hidden spaces, encoding quirks, or layout shifts that sometimes creep in when moving content between programs; I want the final file free of those issues. Speed matters, but not at the expense of precision. I will run a quick spot-check on random entries, and anything that doesn’t mir...

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Descrizione del progetto: Cerchiamo una figura di sviluppo Python con solida esperienza nell'ecosistema OpenBIM e nell'elaborazione di file IFC per un progetto di R&D di 18 mesi nel settore AEC (Architecture, Engineering and Construction). L'obiettivo principale è la revisione, l'ottimizzazione e il perfezionamento del motore di analisi: la figura selezionata dovrà prendere le librerie aperte e gli script esistenti per snellirli, eliminare eventuali bug e garantire che l'estrazione dei dati dai modelli IFC sia fluida, performante e robusta anche con geometrie complesse. Task e responsabilità principali: 1. Refactoring e Ottimizzazione: Revisionare, rifinire e snellire il codice Python per la lettura dei file IFC, eliminando colli di bottig...

I have between six and ten PDF documents and I need every embedded image pulled out of them and saved as individual JPEG files. The work has to be finished within the next 48 hours. The job is straightforward: open each PDF, extract every image at its original resolution, and save it as a clean JPEG. A simple naming convention that links each image back to its source file and page will make review easier—something like FileName_Page#_Image#. When you are done, just zip everything and hand over the archive. Please make sure no quality is lost during the extraction, and keep the color profile intact. I will supply download links to the PDFs as soon as we start.

I have a growing stack of email-based user surveys, each one sent back to me as a PDF attachment. I need every answer inside those PDFs pulled into a machine-readable form so I can run text analysis later. Here is what I’m after: • Download or receive the PDF attachments I will share over a secure folder • Extract the full, verbatim text from each file (some are digitally generated, others may need light OCR) using any reliable toolset you prefer—Python + PyPDF2 / pdfplumber, Tesseract, or similar • Organise the extracted content into a single UTF-8 text file or a clean CSV—one row per survey, one column per question Acceptance criteria: • 100 % of the PDFs processed; no missing pages • Text must match the source wording character-for-ch...

I have a PDF made up entirely of plain-text lines and I need every line transferred accurately into an Excel workbook. No images, tables, or special formatting—just straightforward text capture. You will receive the source PDF and return a clean .xlsx file with each original line occupying its own row (one column is fine unless you spot a logical way to separate fields). Consistency and zero typos are crucial, so feel free to use reliable OCR or manual entry—whichever guarantees perfect fidelity. When you send the completed spreadsheet, I will spot-check against the PDF; acceptance is based on 100 % text match and orderly row structure. A quick turnaround is appreciated, yet quality comes first.

I receive a steady flow of investment letters and factsheets—some in PDF, others as Word files, and the occasional scanned image. I need a Co-Pilot agent that can read each document, pull out the essential information, and hand back two ready-to-share files: • A Word report that presents the extracted information in bullet points. It must cover performance metrics, investment strategy, key benefits, and the main terms for each fund. • An Excel workbook that sets the two investments side-by-side against the benchmarks I’ll provide. One sheet should hold the comparative table; another should translate those numbers into a clear chart. Accuracy matters: figures in the spreadsheet must match the source documents, and the wording in the summary should stay faithful to w...

I need help transferring text from a collection of digital files into a clean, well-structured destination file. The source materials arrive in three formats—PDF, Word documents, and Excel spreadsheets—so you should be comfortable opening each and accurately copying or re-keying the content. Scope of work • Review every PDF, DOCX, and XLSX I provide and extract only the textual information. • Enter the text into the template I supply, preserving original spelling, punctuation, and basic layout cues (headings, bullet points). • Double-check for typos, missing lines, or accidental extra spaces before marking each file complete. I will share a batch of files via cloud storage, along with a naming convention and a simple checklist. Clear communication and a qui...

We are looking to connect with vendors who can provide bulk access to Indian company filings from the MCA, particularly AOC-4, MGT-7/MGT-7A, and other relevant ROC filings. We are open to raw documents, Initial requirements: - • Sample coverage: 100–500 companies, with 2–3 years of historical filings • Scale-up potential: 10K / 100K / 1M+ companies • Raw filings with company mapping, filing dates, and document metadata • FY 26 delivery timelines and pricing • Data provenance, licensing rights and permitted commercial use Vendors offering bulk downloads, APIs, data feeds, or custom extraction are welcome. Please specify whether you provide all available filings or only selected document types. If you have relevant data or capabilities, please DM me.

I need a small, reliable script that continuously pulls text data from a specific website and pushes the results straight into an Excel worksheet in real time. The flow is simple: scrape → clean (if needed) → append or overwrite the target cells so the sheet always shows the freshest information without manual copy-paste. Key points • Source: web scraping only—no API access is available. • Destination: a standard .xlsx file that I will open locally. • Data type: plain text (no images or links). Please choose whatever stack you’re most comfortable with—Python (BeautifulSoup, Selenium, Pandas), VBA with WinHTTP, or Power Query with a custom connector are all fine—as long as the final workbook updates with one click or, even better, on ...

I need all numeric fields currently stored in a series of Hindi-labelled online spreadsheets moved into a structured Excel file that I will supply. The task is strictly numbers—no text cleanup—so accuracy, correct cell placement, and preservation of any decimal formatting are paramount. You’ll access each online sheet, copy the values into the matching columns of my template, double-check totals with the built-in formulas, then return the finished .xlsx file. Deliverable • Completed Excel workbook with every number from the source sheets correctly transcribed and all formula checks passing 100 %.

I need a script that will crawl a specific website and pull every phone number it can find. I do not need emails or social media links—just the phone numbers exactly as they appear online, kept in their original local format. The script should: • Navigate through all internal pages, following pagination or category links where necessary. • Extract and store each number along with the source URL so I can trace it back if needed. • Remove duplicates automatically. • Run without triggering blocks or throttling (a short configurable delay between requests is fine). Please deliver: 1. A well-commented script (Python is ideal, but any language I can execute on Windows is acceptable). 2. A clean CSV or Excel file containing the final list of local-format nu...

I'm looking for an experienced researcher to conduct a systematic review focused on cardiovascular studies. The review should include both randomized controlled trials and observational studies, with a specific focus on mortality rates as the primary outcome measure. A meta-analysis component is also required. Key Requirements: - Comprehensive literature search and data extraction - Critical appraisal of included studies - Statistical analysis for meta-analysis - Detailed report writing Ideal Skills and Experience: - Expertise in systematic reviews and meta-analysis - Strong background in cardiovascular research - Proficiency in statistical software (e.g., RevMan, STATA) - Excellent writing skills for academic publications Please provide samples of previous work and relevant qualif...

I have a collection of PDFs from which I only need the images pulled out. Every image must be copied, saved as a separate file, and any accompanying wording—just the plain, un-styled text that appears next to or below it—typed exactly as shown. Once extracted, both the image files and their text must be entered into my database so each record pairs the graphic with its caption. You can use any reliable tools you prefer—Acrobat, Illustrator, even purpose-built extraction utilities—as long as the final outcome meets these points: • Every image from every PDF page is preserved at its original resolution. • Captions or labels are transcribed verbatim in plain text, free of extra line breaks or formatting. • A simple spreadsheet (CSV) or direct impor...

I have a small batch of Viber voice messages—fewer than ten—that I can no longer reach because Viber has cleared them to free up storage. Your job is to locate those files in the Viber backup or on-device storage, extract them without loss, and convert each one to a single, clearly audible MP3. Security is critical: I’ll provide temporary access, and I expect you to work on a local, offline environment, keep logs minimal, and delete every copy once I confirm receipt. Let me know the method you normally use (e.g., SQLite browsing, Viber desktop cache extraction, mobile root/Jailbreak with ADB/iTunes, etc.) and how you keep user data private. Deliverables • Up to 10 recovered voice messages in MP3 format • Brief note on the extraction steps you took so I c...

I’m sitting on a single ZIP archive that refuses to open. Zip file is approx 1.5GB. Looking to get it done asap.

I have a batch of digital PDF files that hold mixed information—text fields alongside numerical figures—that must be faithfully transferred into a structured spreadsheet (Excel or CSV, whichever you prefer). Accuracy is paramount: every character and number must mirror the original, with columns clearly labeled and totals untouched. You will receive the PDFs in organized folders; simply read, key in the data, and return a clean, well-formatted file ready for immediate use in our internal reporting. A quick turnaround is welcome, but not at the expense of precision. If you use tools such as Adobe Acrobat, OCR utilities, or data-capture macros, let me know; I’m open to any workflow that guarantees reliable results. Deliverable: one consolidated spreadsheet containing ...

I have a stack of handwritten customer forms that only include email addresses and phone numbers. I need every one of those details transferred into a clean Excel spreadsheet so I can import the data into our internal systems later. Accuracy is critical—no typos, no missing digits, and no duplicate rows. Please separate email addresses and phone numbers into their own clearly labeled columns and keep the workbook in .xlsx format. Deliverable • A single Excel file containing all customer emails and phone numbers, fully checked for accuracy and ready for immediate use.

Looking to Hire someone for ongoing data collection work. The software will be provided to Find and match owners, their phone numbers and email IDs. Must have your own VPN !!

I have a steady flow of data that must be typed, collected, cleaned, and organized with zero guesswork. The bulk of the work lives inside Microsoft Excel and Google Sheets, so I need someone already comfortable with the full range of formulas, filters, look-ups, pivot tables, and data-validation rules those tools offer. Here is what you will handle for me: • Typing & transcription of handwritten or scanned material into clean digital text • Data collection & extraction from online sources or supplied documents • Data cleaning & organization—deduping, reformatting, tagging, and preparing files for analysis I expect advanced proficiency with both platforms; shortcuts, scripting, and problem-solving should feel second nature to you. Accuracy is key...

I have a batch of PDF files that need their text content lifted out and saved as clean .txt files. The most important pieces for me are the headings and titles—those must be captured accurately and appear first in each output file—followed by the remaining text in the order it appears in the source. Scope • Open each supplied PDF. • Copy-paste (or use a reliable extractor) to pull every line of text. • Make sure each new PDF generates its own plain-text file with the same base filename. • Headings/titles should be clearly separated—either by an empty line or a simple label—so I can spot them instantly. • No images, tables, or formatting tags are needed; just raw, readable text. Acceptance criteria • One .txt file per PDF, ...

We are a startup seeking a practical, reliable, and low-cost cloud-based web scraping solution. ### 1. Current Situation Our previous PC-based Python system scraped 5,000 URLs with 18 XPath fields per URL in approximately four hours. It depends on local electricity, internet connectivity, and manual monitoring. Sample input/output spreadsheets and Python code are available. ### 2. Our Requirements 1. **High Performance:** Target 100,000+ URLs per run, extracting approximately 30 fields per URL in around one hour or less. Explain feasibility and realistic performance expectations. 2. **Cloud Automation:** No computer needs to remain switched on. Support scheduled runs twice daily, manual triggering, automatic retries, recovery, logs, and failure alerts. 3. **URL & XPath Management...

"I need help with a data entry project. You will need to copy contact information (Names, Emails, and Phone numbers) from 200 PDFs and paste them accurately into an Excel spreadsheet. Attention to detail is a must."

I have an old handset that I still legally own, but it no longer powers on properly and the screen is unusable. Inside it are important SMS text messages that I must retrieve for personal records. What I need from you • Diagnose the extent of the hardware damage remotely (or once you receive the device) and determine the safest extraction method—board-level work, JTAG, chip-off, or a software-based dump if the device can still boot. • Bypass any locks or encryption, if necessary, so the full SMS database can be accessed. • Deliver the recovered messages to me in a clear, searchable format such as CSV, XML, or SQLite, along with simple instructions so I can read them on my computer. Acceptance criteria 1. Complete set of SMS messages, date- and number-stam...

I need all grocery-category products on my JioMart seller panel populated with clean, accurate specifications and their corresponding images. I will give you a batch of scanned labels and shelf photos; from those you will extract every required text field (title, brand, weight, MRP, ingredients, nutritional facts, etc.) and upload the product shots where JioMart demands them. Because both text and image data entry are involved, the task is two-fold: first, transcribe the information precisely into the correct fields on the JioMart template; second, crop or lightly retouch each photo so it meets their size and clarity guidelines before attaching it to the same listing. An eye for detail is crucial—any typo or mismatched image risks listing rejection. Deliverables • Completed ...

I have a stack of printed reports filled with numerical figures that need to be converted into a clean, analysis-ready Excel workbook. Your job is straightforward but demands precision: transcribe every number exactly as it appears in the documents and apply a single, consistent layout to the entire sheet so that rows, columns, decimal places, and date or currency formats all follow the same rule set. I will scan and share the pages as high-resolution PDFs. You re-enter the data in Microsoft Excel, double-check for transcription errors, and keep the formatting uniform throughout. Quick turnaround is appreciated, but accuracy is non-negotiable. Deliverable: • An Excel file containing all figures from the provided prints, laid out in a fully standardized format ready for immediate use...

I have a batch of PDFs that contain only plain-text content. Every word from every page needs to land neatly in a single SQL table—no images, no form fields, just raw text. Here is what the finished job looks like to me: • A script (Python, Java, or similar) that reads each PDF, pulls out the complete text, and writes it into a table such as `pdf_text` with columns like `id`, `file_name`, `page_number`, and `text_block`. • A SQL file that creates this table and lets me recreate it easily on MySQL or PostgreSQL. • Clear instructions so I can rerun the process whenever new PDFs arrive. Accuracy is critical: the stored text must perfectly match the source PDF, page by page. If you prefer libraries such as PyPDF2, PDFMiner, Tika, or pdftotext, feel free—as l...

UPDATED - Build a reliable, locally runnable "Coles & Woolworths Price Data Extraction Tool" that collects weekly Coles and Woolworths product pricing data across Australia. - (UPDATED) Build a tool (Use TypeScript on Node.js) that can be executed automatically every week. - Scrape product data from Coles and Woolworths websites for all available store locations across Australia. - Extract the following fields: product name, package size/weight/volume, current price, unit price (e.g. $/kg), retailer, store location, product URL, promotional price (if applicable), and extraction date. - Capture location-specific pricing, including regional price differences and store-specific promotions, wherever available. - Collect all available products, including different sizes and vari...

I have a set of paper invoices that are already filed in chronological order. I need every invoice transcribed into a single, well-structured Excel sheet capturing only three pieces of information per document: the invoice date, the amount, and the vendor name. Because the paperwork is sorted by date, you can move through the stack from oldest to newest without hunting for related pages. Accuracy is critical; each value must match the original document exactly so the file can be imported directly into our accounting system later. A quick double-check or basic data-validation rule inside Excel is more than welcome if it helps keep typos to a minimum. Deliverable: a clean .xlsx file with clearly labeled columns for Date, Amount, and Vendor Name, ready for immediate use.

I have a set of digital-native PDF files that contain multiple tables. I need each table faithfully reproduced in an editable Word document, keeping the original row and column structure intact. Accuracy is paramount—every heading, cell value, alignment, and any bold or italic formatting must match the source PDF. The workflow is straightforward: extract each table from the digital PDFs, recreate it in Word (not Excel or a database), and double-check that totals, dates, and any special characters are identical to the original. Feel free to use any reliable PDF-to-Word tools or manual copy-paste techniques, as long as the end result opens cleanly in Microsoft Word without broken table layouts. Once a document is complete, send it back for a quick review. When everything looks correc...

I have prepared a brief demonstration that takes a table-rich PDF and rebuilds it in Excel while putting data preservation front and center. In the workbook you will see every numerical value carried over exactly as it appears in the source file—no rounding, truncation, or loss of precision. I also retain the original column headers so the sheet remains immediately readable, and I pay special attention to keeping date formats intact so they still behave correctly for filtering or further calculations. To make the conversion process transparent, I add a separate “Review Log” sheet. Any figure that looked ambiguous during extraction is flagged there alongside a short note, making later verification fast and straightforward. What you’ll get: • An .xlsx file co...

I have a batch of unstructured PDF files in which every page is basically a screenshot that contains text. I need the text pulled out with basic accuracy, organised into a simple, query-friendly data store, and returned so I can run searches and filters on it later. Here’s how I picture the workflow: • Run OCR on each screenshot page (Tesseract, Adobe OCR, or any tool you trust) and capture whatever text the engine can reliably identify. Because I only require basic accuracy, occasional missed or garbled characters are acceptable as long as most of the content is captured. • Push the extracted text into a straightforward structure—CSV, SQLite, or MySQL are all fine. One row per page with fields for file name, page number, and the raw OCR output will meet my needs. ...

I have a word list sitting in a spreadsheet and simply need the individual words pulled out—no frequency counts or other analytics, just the raw terms. Once you’ve extracted them, return the list in a straightforward file that’s ready for me to reuse; plain text, CSV, or JSON all work, so feel free to pick the fastest route. You’ll get the spreadsheet as soon as we kick off. Strip away any stray formatting or hidden characters, confirm the final word count, and hand back the clean file. Quick, accurate turnaround is the goal.

I need the text pulled from a set of PDFs that are laid out in multiple columns and pasted into an Excel workbook. Only the words matter—no images or tables—so you can ignore any non-text elements entirely. Because this job is mainly about speed, I am comfortable with a few typos or column misalignments as long as the overall content lands in the correct rows and sheets. Feel free to use whichever combination of OCR tools or manual copy-paste you prefer, as long as you deliver a single, clearly structured .xlsx file containing all of the extracted text.

I have a batch of unstructured PDF documents and want every piece of text inside them pulled out and inserted into an SQL database. I do not need the original layout, fonts, or styling—just clean, plain-text content mapped to sensible fields (e.g., file name, page number, extracted text). Your task is to create a repeatable workflow or script that: • Reads each PDF, handles multipage files, and copes gracefully with occasional scan-quality variations. • Outputs the raw text into an SQL-ready structure and populates a database I can query immediately after the job is done (MySQL or PostgreSQL are both fine—I’ll match whatever you choose). • Includes clear setup instructions so I can run the process again on new PDFs without extra help. Accuracy o...

I have several PDFs filled with unstructured, free-form text that need to be converted into clean, reliable records ready for direct import into my database. Your task is to extract every relevant piece of text accurately, normalise it where necessary, and deliver it in a structured format (CSV or Excel) that maps neatly to the fields I will provide. Because the source files are not organised into tidy sections, you will need solid experience with OCR tools or advanced PDF extraction techniques, plus a sharp eye for detail to spot line breaks, merged words, and other quirks that often appear in free-form layouts. A light amount of data cleaning is expected so the final sheet is free of duplicates, obvious typos, and inconsistent capitalisation. I will supply: • The PDFs • A f...

I need a freelancer to extract all data from QuickBooks Online and populate an easy to access relational database for Microsoft PowerBI use. The Freelancer will need to establish a process that pulls QBO data at recuring intervals or establish a live connection QuickBooks and writes to the database, create the database storage system, and train the contractor on maintaining the system. Required Data: - Sales and Invoices - Expenses and Purchases - Inventory - Customer and Vendor Information The ideal candidate should have expertise in: - QuickBooks Online - Relational databases - Microsoft PowerBI - Data integration and ETL processes Please include examples of similar work and ensure you have the necessary skills and experience.

I have a multi-page PDF (roughly 11–50 pages) that contains text-only tables. Each row and column needs to be transferred with absolute accuracy into a clean, well-structured Excel workbook. I will provide the source PDF as soon as the project starts and I expect the finished .xlsx file returned on completion. Please keep the original table order, headings, and any cell formatting such as bold or italics that appears in the PDF. Spacing quirks in the source don’t matter as long as the information is placed in the correct column and row inside Excel. Deliverables • One Excel spreadsheet mirroring every table in the PDF. • No missing characters, broken rows, or merged cells unless they already exist in the source. • File encoded in .xlsx, ready for immediat...

I have a collection of PDFs that contain well-formed tables; every page follows the same column layout, so column detection should be straightforward. All I need is the raw text from those tables, delivered as clean, line-break-friendly plain-text files. No Excel, no CSV—just a clear text dump I can later edit and reformat on my side. Because the column structure never changes, I expect a high level of accuracy without manual post-processing. Feel free to use Python with libraries such as Camelot, Tabula, or even custom regex parsing—whatever reliably keeps each row intact. Deliverables • A separate .txt file for each PDF (or a single consolidated .txt if that is easier), preserving the original row order. • A brief note on the method or script you used so I can...

I have a set of PDFs that hold my inventory information in neat, pre-formatted tables. I need every row and column transferred faithfully into an Excel workbook so I can filter, sort and run formulas without worrying about transcription errors. Your task is straightforward but must be precise: extract each table exactly as it appears—item codes, descriptions, quantities, unit costs, totals—and place them into clearly labeled sheets inside one .xlsx file. Column headings must match the source, cell alignment and numeric formatting should remain consistent, and no data can be lost or merged. I am fine with whichever workflow you prefer—manual typing, copy-paste cleanup, or an OCR tool such as Adobe Acrobat, ABBYY FineReader, or Power Query—so long as the final sprea...

I have a stack of printed documents that need to be converted into a clean, well-structured Excel file. Your job is to transcribe the text exactly as it appears, copy any additional information noted on the pages, and then organise everything so each column is consistent and searchable. Accuracy is critical—every entry must reflect the source material perfectly, with no spelling slips, misplaced characters, or skipped lines. After the data is entered, I also need the digital worksheets named logically and the scanned PDFs filed into clearly labelled folders so future referencing is effortless. Deliverable: • One Excel workbook containing all text data from the printed pages, properly formatted and validated. I will review the file for completeness and spot-check for errors. I...

I need the list-style text pulled out of a set of PDFs and delivered in a clean, editable format. Automated scraping won’t work for me here—I’m after a careful, manual capture so any bullet hierarchy, numbering, or indentation stays intact. While my priority is the text, if you come across embedded figures or icons I would like those saved separately as PNG files so the original layout remains easy to recreate later. No tables need to be touched. Please return: • A single DOCX or TXT file containing the extracted lists in the same order they appear in each PDF • A companion folder with any images you lift, saved as PNG and named after the page they came from Accuracy is key, so double-check spelling and structure before handing the files over. Let me kn...

I have between eleven and fifty scanned PDF files that contain tabular data. I need every table transcribed faithfully into an editable spreadsheet (Excel or Google Sheets preferred) so the numbers can be sorted, filtered, and summarized. Accuracy is critical: column headers, row order, and all numerical values must match the original scans. If a figure is unclear, highlight it for my review instead of guessing. To be considered, show me a sample of past work where you converted scanned tables into a clean spreadsheet; it helps me gauge speed and accuracy. A short note on your typical error-checking method is welcome too. Deliverables • One spreadsheet per PDF (or a single consolidated file if that is faster for you) • A quick confirmation sheet listing any unreadable ce...

I have a collection of Word documents that hold customer names and postal addresses, one item per line in simple list format. Your task is to pull every name-and-address pair out of those lists and load them into a clean, well-structured Excel workbook (.xlsx). The sheet should include separate columns for full name, street, city, state, and ZIP/postcode so the information is ready for filtering and mail-merge work later. Accuracy and exact transcription are more important than speed; no entries can be missed or reformatted. Acceptable methods are up to you—VBA, Python (pandas, python-docx), or any reliable extraction workflow are all fine so long as the final deliverable is the Excel file plus whatever script or macro you used, clearly commented, so I can rerun it if new docum...