OCR Jobs

I have a collection of mixed-content PDFs—some pages are pure scans, the rest contain searchable text. Each file holds key tables I need converted into clean, structured data and then visualised as clear bar charts for quick comparison. You will: • Isolate every table across the PDFs, using OCR where the page is only an image. • Clean and normalise the numbers so columns and units stay consistent. • Produce bar charts that faithfully reflect the extracted figures (one chart per table unless otherwise noted). Deliverables 1. A single, tidy dataset (CSV or Excel) with each table clearly identified. 2. High-resolution bar chart images (PNG or SVG) and the source file (Excel, Power BI, or Python notebook) so I can regenerate them later. 3. A short note outlinin...

Engenheiro de IA Sênior - Otimização de Pipeline de Longo Contexto (Python) Descrição do Projeto: Estamos buscando um especialista em IA para destravar e otimizar nosso pipeline de análise de matrículas imobiliárias. O sistema é construído em Python e utiliza o Gemini 1.5 Pro/Flash para processar documentos que podem chegar a centenas de páginas. O foco é garantir que o modelo processe o contexto integral sem truncamento e com rigor lógico. Principais Desafios e Responsabilidades: * Sanitização e Ingestão: Refinar a extração de texto (OCR/Parsing) para evitar estouro de buffers e garantir que o texto completo chegue à IA via Python/MySQL (uso de LONGTEXT). * G...

I have a batch of PDFs made up entirely of scanned images. The scans are of medium quality, so the text is readable but not crystal-clear; careful OCR work and manual proofreading will be required. All I need back is clean, plain UTF-8 text—no layout reconstruction, styling, or headers necessary. Speed is important: this project is time-sensitive and I’m ready to start as soon as I select the freelancer. Tools such as Tesseract, ABBYY FineReader, or Adobe Acrobat’s OCR module are fine, provided the final output meets the accuracy standard below. Deliverables • A separate .txt file for each source PDF, named to match the original file • Spelling and obvious recognition errors corrected • Any unreadable characters clearly flagged with “[unreadable]&rd...

I have 50 high-resolution JPG/PNG pages that record Viennese street name changes—they map the historic to current ones. I need these pages converted into editable text with publication-grade accuracy. Because the files are already digital, no physical scanning is required; the job is all about precise OCR and meticulous proofreading. You may use any robust engine you prefer—ABBYY FineReader, a finely-tuned Tesseract model, or similar—but the end result must be spotless German text, including every umlaut and ß exactly as printed. The layout is simple: two columns per entry, so please preserve that structure. Add any additional information and problems you encounter. Deliverables • A UTF-8 Excel or CSV file with columns: old_name | new_name | page_number &b...

I have a batch of PDF files that hold pure text data organised in tables. Every cell must end up in the correct row and column inside Excel, no omissions, no merged-cell shortcuts. Some of the tables share a common layout, while others change their order of columns or include extra rows, so a simple copy-paste macro will not be enough—you will need to review each file and adapt where the structure shifts. Speed is important, yet not at the expense of accuracy; I expect every spreadsheet to match its source 100 %. Feel free to use Adobe Acrobat, Able2Extract, Power Query, or any OCR workflow you trust, as long as the final .xlsx files are clean and fully editable. Deliverables: • One Excel sheet (or workbook) per PDF, formatted in true tabular form • Headings preserved e...

I have 50 high-resolution JPG/PNG pages that record Viennese street name changes—they map the historic to current ones. I need these pages converted into editable text with publication-grade accuracy. Because the files are already digital, no physical scanning is required; the job is all about precise OCR and meticulous proofreading. You may use any robust engine you prefer—ABBYY FineReader, a finely-tuned Tesseract model, or similar—but the end result must be spotless German text, including every umlaut and ß exactly as printed. The layout is simple: two columns per entry, so please preserve that structure. Add any additional information and problems you encounter. Deliverables • A UTF-8 Excel or CSV file with columns: old_name | new_name | page_number &b...

I have a batch of PDF files that hold pure text data organised in tables. Every cell must end up in the correct row and column inside Excel, no omissions, no merged-cell shortcuts. Some of the tables share a common layout, while others change their order of columns or include extra rows, so a simple copy-paste macro will not be enough—you will need to review each file and adapt where the structure shifts. Speed is important, yet not at the expense of accuracy; I expect every spreadsheet to match its source 100 %. Feel free to use Adobe Acrobat, Able2Extract, Power Query, or any OCR workflow you trust, as long as the final .xlsx files are clean and fully editable. Deliverables: • One Excel sheet (or workbook) per PDF, formatted in true tabular form • Headings preserved e...

I’m extending our Zoho Creator app with two tightly-linked features and want a developer who already speaks the Zoho ecosystem fluently. 1. Conversational AI agent The first module should let clients type a question inside our existing Creator portal and instantly receive answers drawn from the invoice records already stored in that same Creator database. Think of it as a smart layer over Deluge queries: the agent interprets the user’s request, fetches the right data, formats a clear reply, then logs the entire exchange for audit. An OpenAI or similar LLM endpoint is fine as long as it sits securely behind Creator’s functions. 2. OCR-driven invoice capture Most invoices reach us as scanned paper PDFs or images. I need an OCR pipeline (Zoho’s own Vision, Google...

I have a batch of PDFs—some are pure digital files, others are scanned images—and I need to pull specific text fields from each of them into a clean, well-structured Excel workbook. Because this is a one-time job, I’m aiming for the fastest reliable approach rather than an enterprise-level pipeline. Scope • Identify and capture only the targeted text values I will specify (invoice numbers, dates, totals, etc.). • Handle both searchable PDFs and image-based pages in the same run, applying accurate OCR where needed. • Output every record in an .xlsx file with clearly labeled columns ready for further analysis. Preferred Stack Python with libraries such as pdfplumber, PyPDF2, or camelot for the text-based files, combined with Tesseract (or a comparab...

Looking for an experienced Android Java developer to build a complete app for an AR glasses device. The device connects to an Android phone via USB-C. The app must: — Open a live USB UVC camera feed fullscreen on the glasses display — Apply real-time zoom from 1x to 10x with sharpness maintained — Apply real-time contrast enhancement — Apply real-time brightness adjustment — Apply edge detection outline mode — Apply colour filter modes — Read visible text aloud using OCR and text to speech — Simple on-screen menu to switch between features — Maintain minimum 30 FPS at all times SDKs provided: — — USB camera, zoom, image effects (Java API over C/C++ native libraries) — — glasses communication and display cont...

i need to read only questions and type them exactly as they are in word doc. I don't want answers or answer keys

I will send you a list of five Kindle titles. Your task is to acquire each book from the Kindle Store, remove any DRM if necessary, and export a clean PDF that mirrors the exact Kindle layout—fonts, images, page breaks, everything must look just as it does on the device. Please enable OCR so every page is fully searchable. A generated Table of Contents should also be embedded in each file for easy navigation. I don’t need bookmarks or annotations beyond that. Use whichever tools you prefer—Calibre with the Kindle De-DRM plugin, Kindle for PC/Mac, Adobe Acrobat, or other reliable software—as long as the final PDFs open flawlessly on any reader and pass a quick text-search check. Deliverables (one set per book) • PDF replicating the Kindle layout • Se...

I have a set of blood-test reports that arrive as PDFs, and I need an accurate, repeatable way to extract only the test result section from each file. The patient demographics and doctor’s notes can be ignored; my focus is strictly on the numerical results, reference ranges, and units. Here’s what I’m looking for: • A lightweight script or small desktop tool (.NET Core + Tesseract, AWS Textract, or any engine you prefer) that ingests multi-page PDF blood panels and returns structured data—CSV or JSON is fine. • Clear mapping of the extracted fields to their respective test names as they appear in the PDF. • Reliability across differing lab layouts; most follow similar tables, but spacing and fonts vary. Acceptance criteria 1. Feed a sample...

I need an all-round tech administrator to take charge of our stack—Twilio, Google Cloud Vision OCR, n8n, and three customer-facing websites that collectively use 8–10 products. The immediate priority is wiring Twilio and Google Vision OCR into our workflow so that images containing a mix of handwritten and printed text are automatically processed, the text extracted, and the results routed to the right place inside n8n. From there, n8n should trigger Twilio to send out the appropriate SMS integrated with WhatsApp. Once the OCR pipeline is live and reliable, you’ll keep ownership of the broader environment: tuning Twilio numbers and messaging profiles, adding new n8n automations as products evolve, and handling routine site updates with minimal oversight from me. Deliver...

I receive every property lead through multiple WhatsApp numbers, I would then forward the message—sometimes text, sometimes an image—to one specific chat. I now need an end-to-end bot that automatically: • Captures each forwarded message on WhatsApp Business (Twilio or any reliable API) • Runs it through an LLM/OCR pipeline (OpenAI, Vision API, or similar) to pull out price, location, size, seller contact info, registration status, facing direction, and special notes such as “park facing” or “18 m road” • Pushes the cleaned data straight into a Google Sheet that I can filter by price range, location, registration status, facing, or any combination of these fields • Detects and blocks duplicates before they get to the sheet &b...

# Техническое задание ## Разработка парсера урона для Lineage II (High Five) ### 1. Общая информация Требуется разработать десктопное приложение для **Windows**, которое в реальном времени анализирует урон в игре **Lineage II (High Five)**. Программа должна работать поверх окна игры и автоматически считывать числовые значения урона, которые появляются над персонажами во время боя. Основная цель — получать статистику нанесённого и полученного урона во время PvP (например, на олимпиаде). --- ### 2. Основной принцип работы Программа должна: 1. Определять координаты окна игры **Lineage II** (клиент работает в оконном режиме). 2. Захватывать заданную область экрана, где появляются цифры урона. 3. Выполнять обработку изображения (фильтрация цветов / выделение цифр). 4. Распознават...