OCR Jobs

Project Title: Iraqi License Plate Detection and Recognition using Python (YOLO + OCR) Description: I am looking for a developer to build a complete Python project for automatic Iraqi vehicle license plate detection and recognition. Project Requirements: 1. Detect Iraqi license plates from vehicle images using a deep learning model (preferably YOLOv8). 2. Crop the detected license plate from the image. 3. Apply OCR to recognize the license plate number and characters. 4. The system should support Arabic letters, English letters, and Arabic-Indic numbers used in Iraqi license plates. 5. Use data augmentation techniques (rotation, blur, illumination changes) to improve model performance. 6. Provide training and testing scripts. 7. Provide the full Python source code. Tools preferr...

I'm seeking a Python RPA expert specializing in computer vision-based (Offline) web scraping for a web search and document download project. You'll scrape sites, download/classify documents (e.g., public records via CV/NLP), design neural networks for extraction, and build scalable workflows. Patience for alpha testing, finetuning iterations is key. Key Requirements: • Pure Python RPA, with the core orchestrator, no third part tool. • Web navigation/ scraping with Selenium/Playwright: document download, classification, OCR/text extraction. • Build/train neural networks (e.g., CNNs for image doc classification). • NLP expertise with spaCy for entity extraction. • Computer vision using TensorFlow/OpenCV (offline Vision Libraries preferre...

I have a batch of textbook pages that were scanned as images. Each page combines typed passages, handwritten notes in the margins, tables, and assorted numbers. I need every element—words, figures, formulas—transcribed into clean, editable files. Here’s the scope: • Typed text must be re-created with the same hierarchy of headings, paragraphs, and bullet points. • Handwritten annotations and corrections are just as important; please type them in line or as clearly labeled side notes. • Tables and numeric data should go into a spreadsheet (Excel or Google Sheets) so totals can be double-checked. Accuracy is critical; OCR tools are fine for a first pass, but I expect a full human review to eliminate misreads, especially with the handwriting. Deliv...

I have a journal stored as a PDF and I need every page, figure, table, and footnote copied into a new file while keeping the original look exactly the same. The final deliverable must be a clean, searchable PDF that mirrors the source layout—fonts, spacing, headings, and pagination all intact—so readers will not notice it has been recreated. You may use any reliable tool you prefer (Adobe Acrobat, OCR utilities, or InDesign, for instance) as long as the final file is visually identical to the original and free of stray artifacts or mis-aligned elements. Please double-check that no text is lost during the copy-paste process and that hyperlinks, if present, remain active. When you respond, let me know: • The software you plan to use • How you will ensure formatting ...

I need a Mac-native desktop (potentially working on cloud or backing up to cloud and can input data to from mobile or windows) application that will house a clinical database for a defined cohort of patients and their related diseases. The data model itself is straightforward—basic demographics, diagnosis codes, treatment timelines, and outcome notes—but a few smart features are critical to daily use: • Multiple input channels. Clinicians must be able to type directly into clean, well-labelled forms, import legacy records from CSV or Excel, and drop scanned documents that the system will pass through OCR, automatically mapping recognised values to the correct fields. • On-the-fly calculations. Once records are saved, the app should detect recurring patterns, run p...

I have a batch of PDFs that contain pure text only, and I need every word lifted accurately into Google so the content can be edited and searched later. You may use Google Docs, Google Sheets, or suggest the most suitable Google workspace tool; the goal is a clean, easily shareable file with the exact wording found in each PDF. Key points to keep in mind: • The source files are text-only—no tables or images to worry about. • Spelling, line breaks, and paragraph order must match the original. • I will provide a shared drive link for the PDFs and expect the completed Google file(s) returned in the same folder structure. If any text isn’t clear in the scan, leave a short comment where clarification is needed rather than guessing.

I have a collection of scanned PDF documents that need their full text transcribed into an editable format. The PDFs contain no selectable text, so each page has to be either carefully re-typed or run through OCR and then proof-read for absolute accuracy. Your task is simple but detail-oriented: capture every word exactly as it appears, preserving paragraph breaks and basic formatting while correcting obvious scan artefacts such as smudged characters. I do not need tables, charts or form fields—only the straight text. I will share the PDFs through a cloud folder as soon as we start. Let me know which toolset you normally use (e.g., Adobe Acrobat, ABBYY FineReader, Tesseract, or pure manual typing) and how quickly you can deliver clean DOCX or XLSX files. Regular check-ins and a s...

I have a batch of PDFs that hold only general numerical values. Each file follows the same structure and I already know which headings and column order I want reflected in a Google Sheet. Your task is straightforward: pull every number from each PDF and drop it into my shared Google Sheet under the exact headings I provide. Accuracy is critical—no skipped rows, no transposed digits, no extra formatting. If you prefer OCR tools such as Adobe Acrobat, Smallpdf, or even Google Drive’s built-in converter, feel free, as long as the final Sheet is clean and perfectly aligned to the template. Deliverable: • One Google Sheet populated with all numbers from the supplied PDFs, matching the specified column headings and row sequence. I will supply the PDFs and the Sheet te...

I have several hundred JPG scans of typed pages that I need transformed into one clean, well-organized Microsoft Word document. Each page must be re-typed or accurately OCR-converted, then double-checked so that headings, paragraphs, and spacing follow the original layout closely—I only need a moderate level of fidelity, so minor visual differences are acceptable as long as the meaning and flow remain intact. Please keep the original fonts and styling wherever they appear in the scans. Any embedded charts or pictures should be snipped out of the JPGs and inserted in their exact spots in the Word file. There are no handwritten notes to worry about, so the task is strictly text and embedded images. Before delivery, proofread the entire document for spelling, missing words, and fo...

I have a batch of PDFs that hold only general numerical values. Each file follows the same structure and I already know which headings and column order I want reflected in a Google Sheet. Your task is straightforward: pull every number from each PDF and drop it into my shared Google Sheet under the exact headings I provide. Accuracy is critical—no skipped rows, no transposed digits, no extra formatting. If you prefer OCR tools such as Adobe Acrobat, Smallpdf, or even Google Drive’s built-in converter, feel free, as long as the final Sheet is clean and perfectly aligned to the template. Deliverable: • One Google Sheet populated with all numbers from the supplied PDFs, matching the specified column headings and row sequence. I will supply the PDFs and the Sheet te...

We are building a SaaS MVP aimed at business clients that will let users log in, upload documents, extract the key data with OCR and review the results in a real-time dashboard. The stack is already chosen: React/ for the front end and Laravel (PHP) for the back end, so you can focus on clean architecture rather than tool selection. Core scope • Secure user authentication with role management • Document upload pipeline that triggers OCR and stores the parsed output • A reporting/dashboard view that lets users search, filter, and export the extracted data If interested, please include: • Links to at least two production SaaS platforms you’ve built or contributed to • A short description of your role in the architecture • Relevant experience wit...

I have a batch of PDFs that hold only general numerical values. Each file follows the same structure and I already know which headings and column order I want reflected in a Google Sheet. Your task is straightforward: pull every number from each PDF and drop it into my shared Google Sheet under the exact headings I provide. Accuracy is critical—no skipped rows, no transposed digits, no extra formatting. If you prefer OCR tools such as Adobe Acrobat, Smallpdf, or even Google Drive’s built-in converter, feel free, as long as the final Sheet is clean and perfectly aligned to the template. Deliverable: • One Google Sheet populated with all numbers from the supplied PDFs, matching the specified column headings and row sequence. I will supply the PDFs and the Sheet te...

I receive batches of pdf or image invoices and need every piece of information they contain—dates, times, invoice numbers, totals, supplier details, line items, taxes—pulled out accurately and dropped into my existing JSON template. The field names in the template match the text on the invoices, so your job is to locate each value with OCR and map it straight into the corresponding key; if a value is missing, leave the field blank rather than guessing. Any reliable stack is acceptable. Python with Tesseract, EasyOCR, Google Vision, or a comparable engine will work as long as the final script is easy for me to install and modify. Reliability and clean code matter more than raw speed. Deliverables • A runnable script or notebook that ingests JPEG invoices and produces JSON...

I have a batch of PDFs that hold only general numerical values. Each file follows the same structure and I already know which headings and column order I want reflected in a Google Sheet. Your task is straightforward: pull every number from each PDF and drop it into my shared Google Sheet under the exact headings I provide. Accuracy is critical—no skipped rows, no transposed digits, no extra formatting. If you prefer OCR tools such as Adobe Acrobat, Smallpdf, or even Google Drive’s built-in converter, feel free, as long as the final Sheet is clean and perfectly aligned to the template. Deliverable: • One Google Sheet populated with all numbers from the supplied PDFs, matching the specified column headings and row sequence. I will supply the PDFs and the Sheet te...