OCR Jobs

I have a collection of articles and reference pages that I need copied accurately from various online sources into a clean, well-formatted spreadsheet (Excel or Google Sheets—whichever you prefer). The work is strictly text data entry; no complex formulas or calculations are required. Here’s what I expect: • Locate each assigned web page or PDF link I provide, copy the visible text without omissions, and paste it into the appropriate columns. • Preserve basic headings and paragraph breaks so the information stays readable. • Double-check spelling, punctuation, and spacing before submitting each batch. A few pages may come as PDF downloads, so you’ll need to extract the text from those as well. Consistency and attention to detail matter more to me ...

I have a stack of printed documents that I need converted into clean, error-free plain text files. The job is straightforward: read each page carefully and type its contents exactly as they appear, preserving paragraphs and basic punctuation but omitting any page numbers or handwritten notes. Accuracy matters more than speed. I will check the files with a quick diff tool, so please proofread your work before submitting. You may use OCR to speed things up as long as you manually verify every line; final output must still be a standard .txt file encoded in UTF-8. Deliverables: • One plain text file per source document, named to match the original. • Completion report listing any illegible sections you had to flag. I’m ready to get started as soon as you are and will gladly...

I have a stack of printed documents that I need converted into clean, error-free plain text files. The job is straightforward: read each page carefully and type its contents exactly as they appear, preserving paragraphs and basic punctuation but omitting any page numbers or handwritten notes. Accuracy matters more than speed. I will check the files with a quick diff tool, so please proofread your work before submitting. You may use OCR to speed things up as long as you manually verify every line; final output must still be a standard .txt file encoded in UTF-8. Deliverables: • One plain text file per source document, named to match the original. • Completion report listing any illegible sections you had to flag. I’m ready to get started as soon as you are and will gladly...

I have a batch of scanned PDF documents that contain only text, and I need every word accurately entered into an editable digital format. The source files are clear scans, yet they still require a careful eye to catch any OCR misreads or formatting quirks. Here is how I see the job flowing: • Receive roughly 200 PDFs (average 2-3 pages each) via shared folder • Use your preferred OCR tool to extract the text, then proofread line by line against the original scan • Deliver the final content in a single, well-structured Word document (or Google Doc) with page breaks matching the PDFs Accuracy is everything—no missing characters, no extra spaces, no broken paragraphs. If you already work with tools like Adobe Acrobat OCR, ABBYY FineReader, or Google Drive OCR, great...

I have a batch of scanned PDF documents that contain only text, and I need every word accurately entered into an editable digital format. The source files are clear scans, yet they still require a careful eye to catch any OCR misreads or formatting quirks. Here is how I see the job flowing: • Receive roughly 200 PDFs (average 2-3 pages each) via shared folder • Use your preferred OCR tool to extract the text, then proofread line by line against the original scan • Deliver the final content in a single, well-structured Word document (or Google Doc) with page breaks matching the PDFs Accuracy is everything—no missing characters, no extra spaces, no broken paragraphs. If you already work with tools like Adobe Acrobat OCR, ABBYY FineReader, or Google Drive OCR, great...

I have a collection of scanned images that need to be converted into clean, editable text. The scans include a mix of handwritten notes and typed passages, so the job calls for a blend of careful manual transcription and, where helpful, light OCR to speed things up. Accuracy is more important to me than speed—I expect the final text to match the originals word-for-word, with clear indication of any illegible portions. Please proof-read your own work before delivery so I don’t have to send revisions back and forth. Deliverables • One neatly formatted Word or plain-text file for each scan (same file name as the image) • All text entered exactly as it appears, preserving basic layout such as paragraphs, bullet points, and headings If you routinely work with ...

I need help populating an Excel workbook with mixed data—both text and numbers—sourced from two places: scanned pages and several Word documents. The scanned material will require careful transcription or light OCR correction before it’s copied across, while the Word files can be copied-and-pasted but still need to be laid out consistently. Please keep every column clearly labeled, retain any numerical formatting (dates, currency, percentages, etc.), and double-check totals so the sheet is immediately ready for sorting and analysis. Deliverable: one clean, fully-populated .xlsx file containing all records from the supplied sources, error-free and formatted for easy filtering and summary.

I have a PDF of well over 50 pages that blends narrative text with numerous embedded tables. I need every page reproduced in Microsoft Excel so the spreadsheet looks and reads exactly like the source—same column order, fonts as close as possible, spacing, and page breaks. Deliverables • One Excel workbook with a separate sheet for each original PDF page (or another clear structure that still preserves page order) • All text, table data, and simple graphics positioned to match the PDF layout identically • No loss of characters, line wraps, or merged-cell problems Acceptance criteria When I place the PDF and the Excel file side by side, nothing should be missing or displaced; scrolling through either should feel like the same document in a different format....

I have a PDF of well over 50 pages that blends narrative text with numerous embedded tables. I need every page reproduced in Microsoft Excel so the spreadsheet looks and reads exactly like the source—same column order, fonts as close as possible, spacing, and page breaks. Deliverables • One Excel workbook with a separate sheet for each original PDF page (or another clear structure that still preserves page order) • All text, table data, and simple graphics positioned to match the PDF layout identically • No loss of characters, line wraps, or merged-cell problems Acceptance criteria When I place the PDF and the Excel file side by side, nothing should be missing or displaced; scrolling through either should feel like the same document in a different format....

Project Flow Design: Agent Tap2Read by Sellwell 1. Overview Agent Tap2Read by Sellwell allows users to send a business card photo via WhatsApp. The bot extracts contact details (Name, Phone, Email, Company, etc.), structures them, and replies back. Users can also export data in formats like CSV/Excel or push to CRM. 2. Components WhatsApp Business API (Meta Cloud API) Entry point for messages Webhook Backend (Django/Node/Flask) Processes incoming messages Storage (DB) Save parsed contacts (optional) OCR Service Extracts text from card image AI Parsing Layer (Gemini Pro) Converts OCR output into structured JSON Response Formatter Formats details & sends back to WhatsApp Export Integration Export contacts to Excel/CSV or CRM 3. High-Level Flow 1. User sends 'Hi' or a business c...

I’m planning a utility-focused mobile app that helps users manage their day-to-day tasks on both Android and iOS. The core workflow is classic task management—create, edit, prioritise and mark items complete—but I also need one standout feature: automatic receipt scanning. The camera should capture a receipt, run on-device or cloud OCR, and attach the parsed data to the related task in seconds. I already have rough wireframes and the main user stories mapped out; what’s missing is an experienced mobile developer (or small team) who can turn them into a polished, stores-ready product. Feel free to build in Flutter, React Native, Kotlin/Swift, or another cross-platform stack you’re comfortable with, as long as performance and native camera access stay seamless....

I want a working prototype of a truly pocket-sized gadget that can run completely offline. The flow is straightforward: a standard-resolution camera captures a printed or handwritten question, an on-board OCR module extracts the text, a lightweight language model generates a full textual answer, and the reply appears on a small built-in screen. No cloud calls, no external power brick—everything must live inside the device itself. I am open on the exact OCR library; Tesseract OCR is the obvious first choice, but if you have a lighter or faster alternative that will compile on something like a Raspberry Pi Zero 2 W, an ESP32-S3, or any comparable single-board solution, I’m happy to discuss it. For the AI model, please keep it compact (e.g., TensorFlow Lite, ONNX, or similar) s...

I need a self-contained Python pipeline that runs on a Raspberry Pi, grabs an image from the Pi Camera, extracts any text it finds in the picture, sends that text to a lightweight AI function, then shows the AI’s short answer on a small SPI/I²C OLED display. Scope of work • Capture: Trigger the Pi Camera (libcamera or picamera2) and save a frame. • OCR: Use Tesseract, EasyOCR, or another open-source library to read text from the image. The input is always “text from images,” never scanned PDFs or live handwriting. • AI logic: Pass the recognised string to a simple question-answer routine (OpenAI API, Llama .cpp, or any efficient model you prefer) and return a concise, single-sentence reply. No lengthy explanations are needed. • Display: P...

Preciso de um WebApp que funcione perfeitamente em navegadores Android (e em outras plataformas) capaz de receber um documento de venda — seja ele um PDF enviado ou uma foto tirada pelo aparelho —, reconhecer as informações contidas e gravá-las em tabelas já existentes no SQL Server. O leitor deve identificar texto em português, lidar com diferentes resoluções e manter boa taxa de acerto em cenários de digitalização comum. A pilha tecnológica fica a seu critério, desde que o front-end rode no navegador e o back-end dialogue com o SQL Server por meio de API segura. Dados que quero extrair: • Informações de venda • Informações do cliente • Detalhes d...