OCR Jobs

I have a batch of printed documents that have already been converted to high-resolution scanned images. Your task is to extract every word from those scans and enter it verbatim into a structured text file (Word or plain-text) while preserving paragraph breaks and basic formatting. No numerical tables or mixed data—this is purely text transcription, so accuracy in spelling, punctuation, and line order matters most. You will receive a shared folder containing the scans. Feel free to use any reliable OCR tool—ABBYY FineReader, Adobe Acrobat, or Google Vision—but please proof-read the output and correct mistakes before submission. Manual typing is equally acceptable if that gives cleaner results; the final file just needs to be 100 % faithful to the source pages. Deliverab...

I have a set of PDF files that contain plain text which I need transferred into Excel. The goal is straightforward: move the content over, keep it legible, and preserve the natural layout of the information using standard spreadsheet formatting—nothing bespoke or heavily styled. I am comfortable with a basic accuracy range of roughly 80-89 %, so manual key-checks or light OCR cleanup is acceptable. What matters most is that columns line up, rows stay consistent from one sheet to the next, and the final workbook is easy for me to sort, filter, and analyse. Adobe Acrobat, any reliable OCR tool, or direct copy-paste paired with solid Microsoft Excel skills will all work. I just need someone who knows the common pitfalls of PDF extraction—random line breaks, merged cells, los...

I have a set of PDF files that contain plain text which I need transferred into Excel. The goal is straightforward: move the content over, keep it legible, and preserve the natural layout of the information using standard spreadsheet formatting—nothing bespoke or heavily styled. I am comfortable with a basic accuracy range of roughly 80-89 %, so manual key-checks or light OCR cleanup is acceptable. What matters most is that columns line up, rows stay consistent from one sheet to the next, and the final workbook is easy for me to sort, filter, and analyse. Adobe Acrobat, any reliable OCR tool, or direct copy-paste paired with solid Microsoft Excel skills will all work. I just need someone who knows the common pitfalls of PDF extraction—random line breaks, merged cells, los...

Hi, I'm Ayush. I've built similar training materials before – mostly for small teams who need to get better at Excel without sitting through boring theory. I can put together a complete package for your 3-hour workshop. Here's what I'll deliver: PowerPoint deck – Clean, visual, and easy to follow. Covers core formulas (IF, VLOOKUP/XLOOKUP, SUMIFS, TEXT functions) and pivot tables. Each slide has a clear takeaway and a prompt for the hands-on exercise. Demo files and datasets – Realistic IT data. Think log files with timestamps and error codes, ticket metrics (open/closed by priority, SLA breaches), system inventory lists with hardware specs. Everything your team can manipulate during the session. Facilitator notes – Step-by-step. Timings for e...

I have a Tamil-language PDF that I need converted into clean, copy-ready plain text. The quickest way is usually to drop the file into Google Docs and use its OCR, but I’m fine with any method you prefer as long as the final result meets these points: • Entire document: please capture every line of Tamil text from the first page to the last. Deliver the output a Google Doc shared back to me—whichever you find cleaner after your pass. A quick manual proofread to catch common OCR slips will be appreciated so I can drop the text straight into my project with zero extra cleanup.

I have a Tamil-language PDF that I need converted into clean, copy-ready plain text. The quickest way is usually to drop the file into Google Docs and use its OCR, but I’m fine with any method you prefer as long as the final result meets these points: • Entire document: please capture every line of Tamil text from the first page to the last. Deliver the output a Google Doc shared back to me—whichever you find cleaner after your pass. A quick manual proofread to catch common OCR slips will be appreciated so I can drop the text straight into my project with zero extra cleanup.

We have few Bengali scan and hand written pages that need to convert into editable word doc file. Please bid only native guy who can start now. Note: Need to convert a page for sample test.

I have a batch of printed documents that have already been converted to high-resolution scanned images. Your task is to extract every word from those scans and enter it verbatim into a structured text file (Word or plain-text) while preserving paragraph breaks and basic formatting. No numerical tables or mixed data—this is purely text transcription, so accuracy in spelling, punctuation, and line order matters most. You will receive a shared folder containing the scans. Feel free to use any reliable OCR tool—ABBYY FineReader, Adobe Acrobat, or Google Vision—but please proof-read the output and correct mistakes before submission. Manual typing is equally acceptable if that gives cleaner results; the final file just needs to be 100 % faithful to the source pages. Deliverab...

I have roughly 5 000 PDFs that are a mix of Bills of Lading and Commercial Invoices. I need a reliable script—Python preferred, but any language is fine—that can open each file, read the key parties on the document, and aggregate everything into a single Excel workbook. The script must capture: • Shipper details • Receiver details • Broker details Accuracy matters more than speed; some files are machine-readable, others are scanned, so you may have to blend text parsing with OCR (think , PyPDF2, Camelot, Tesseract, or any stack you trust). The output should be a clean .xlsx file with one row per shipment and clearly labeled columns for each data point. Please send a brief but detailed proposal that explains: – The libraries or tools you will use ...

I have a collection of scanned images that need to be transcribed accurately into digital text. No special layout or styling is required—plain text is all I’m after—so feel free to capture only basic paragraph breaks that already exist in the images. Speed and accuracy matter more to me than elaborate formatting. Please return the finished work in whichever simple format you prefer (Word, TXT, or similar); I can convert it on my end if needed. Let me know your turnaround time and any questions you have about legibility or file delivery, and we can get started right away.

I have a batch of scanned PDFs that contain only text, and I need every word transcribed into an editable digital format. The scans themselves are not selectable, so the job will involve either careful manual typing or using OCR software followed by meticulous proofreading to ensure the final copy is error-free and faithfully mirrors the original layout, paragraph breaks, and punctuation. Your delivered file should arrive as a clean Microsoft Word or Google Docs document, ready for me to use without additional cleanup. Accuracy matters far more than speed; any misspellings or missing lines will send the file back for revision. If you plan to rely on OCR, please double-check the output against the scan before submitting. Let me know how soon you can turn around the first few pages and wha...

I have about 500 records sitting in a set of PDF files. Every record is pure text, but some of that text is locked away inside images and simple diagrams, so reliable OCR will be necessary. My Excel template is ready; each PDF record corresponds to one row, and every field has a clearly labelled column. Your task is to copy the visible text and extract the text that appears inside the images, then place everything into the correct cells without altering spelling, punctuation, or formatting. Please double-check each entry so the spreadsheet mirrors the source material perfectly. Deliverables: • Completed .xlsx file with all 500 records filled in according to my template • Brief log noting any characters or sections that could not be read with certainty Tools such as Adobe Acr...

I need a fast, detail-oriented data-entry specialist to type a set of handwritten Tamil-language documents that belong to Tamilaga Vettri Kazhagam (TVK) into a clean digital format. The material is purely text—meeting notes, membership forms, and other party records—so the task is straightforward transcription rather than translation or content creation. You may use any workflow that suits you (manual typing, OCR plus proofread, Microsoft Word, Google Docs, etc.), but the final files must match the originals word-for-word, preserve paragraph breaks, and be free of typos. Flag any words that are genuinely unreadable so I can verify them later. Deliverables • A separate Word or Google Doc for each source page • A simple log noting page numbers completed and any uncl...

I need a small Windows-only desktop tool that sits quietly in the background, keeps an eye on a two application window, and reads any numbers or short text that appear there. Each time fresh data is detected, the script should run a mathematical calculation that I will supply (simple formula, nothing exotic). The moment the result meets my condition, I want to know right away through both a pop-up notification and a short sound. Technology-wise, I am already comfortable working with Python, so please build it in Python using screen-capture libraries such as MSS, OpenCV for basic computer-vision handling, and either PaddleOCR or Tesseract for the text recognition. The solution must continue monitoring for as long as the program is open; no browser automation or auto-clicking is involved&md...

I need help bringing legacy clinical information into my current CharmEHR account. All of the source material is sitting in unstructured PDF files that came out of the previous system, and I want those documents turned into live, searchable data inside CharmEHR—not just attached scans. The scope covers three clear data sets: • Patient records (demographics, clinical notes, labs, imaging). • Appointment history (dates, providers, visit notes). • Insurance information (active and historical policies). I will supply organized folders of the PDFs plus a data-field map drawn from CharmEHR’s import specifications. Your job is to extract the relevant fields, transform them into the format CharmEHR accepts, and load them through its import tools or API. A small p...

I have a PDF that was generated from an image file and every letter looks soft and fuzzy. I need the document rebuilt so the text prints crisply. The goal is high-definition clarity that holds up on a professional printer, not merely standard on-screen readability. You may choose the most efficient route—OCR with careful proofreading, manual re-typesetting, or a hybrid workflow—but the finished file must remain identical in layout, pagination, and overall appearance while replacing the blurry lettering with vector-sharp text. If small graphic elements also appear soft, please refresh those as well so nothing looks pixelated when zoomed to 400 %. Deliverable • A press-ready PDF (same page size and margins as the original) with razor-sharp, selectable text. Acceptance che...

I need help bringing legacy clinical information into my current CharmEHR account. All of the source material is sitting in unstructured PDF files that came out of the previous system, and I want those documents turned into live, searchable data inside CharmEHR—not just attached scans. The scope covers three clear data sets: • Patient records (demographics, clinical notes, labs, imaging). • Appointment history (dates, providers, visit notes). • Insurance information (active and historical policies). I will supply organized folders of the PDFs plus a data-field map drawn from CharmEHR’s import specifications. Your job is to extract the relevant fields, transform them into the format CharmEHR accepts, and load them through its import tools or API. A small p...

I need help bringing legacy clinical information into my current CharmEHR account. All of the source material is sitting in unstructured PDF files that came out of the previous system, and I want those documents turned into live, searchable data inside CharmEHR—not just attached scans. The scope covers three clear data sets: • Patient records (demographics, clinical notes, labs, imaging). • Appointment history (dates, providers, visit notes). • Insurance information (active and historical policies). I will supply organized folders of the PDFs plus a data-field map drawn from CharmEHR’s import specifications. Your job is to extract the relevant fields, transform them into the format CharmEHR accepts, and load them through its import tools or API. A small p...