OCR Jobs

My 33-page play is currently trapped inside a PDF where each page is just an image. I need every line of text lifted out of those images and re-created in a Word document. Please keep the original look and feel of the script: character names in their proper places, dialogue indented the way it appears now, and all stage directions clearly marked. No need to worry about any graphics or background images—only the words matter. Deliverable • One editable .docx file that mirrors the existing formatting as closely as possible, ready for further revision or printing. Accuracy in spelling, punctuation, and layout is critical; the finished file should read exactly as the current PDF does, only fully selectable and editable.

I have more than fifty bank statements in PDF format that I need converted into a clean, ready-to-use Excel workbook. For every single line item, please capture three fields exactly as they appear on the statement: the date, the transaction description, and the amount. Consistent column structure is important so the file can be filtered and reconciled quickly later on. You may use any reliable PDF-to-Excel tool, OCR software, or manual methods you trust, but the end result must be 100 % accurate—totals in Excel should match each statement’s totals, and dates and descriptions must remain unaltered. Deliverable: one Excel file (or Google Sheet if you prefer) containing all transactions, clearly separated by statement or with an additional “Statement #” column so I c...

I need a small application that reads invoice-style PDFs and pulls every line-item—description, quantity, unit price, extended price—into an Excel workbook. The invoices come from multiple vendors, so layouts and fonts vary; accuracy across these differing templates is essential. Here’s how I picture the flow: I drop one or many PDFs into an input folder, run the script (Python would be ideal, but I’m open to other stacks), and receive an .xlsx file populated with the captured line items. A simple CLI is fine, though a lightweight GUI would be a welcome bonus. Behind the scenes you’re free to combine tools like pdfplumber, Tesseract, Amazon Textract, Azure Form Recognizer, or any other layout-aware OCR/LLM approach, as long as the final solution can be instal...

I need an end-to-end system that lets a user open a mobile app, snap or choose a scanned page from any Telugu book, and instantly hear the text read aloud while the backend checks whether the same passage already exists in my book-preview dataset. Here is the flow I have in mind: • The mobile app (must run on both iOS and Android) presents a simple “Upload / Capture” screen. • On upload, the image is sent to Google Cloud where OCR is performed. The OCR must handle multiple Telugu fonts and return clean Unicode. • The extracted text is fed to a Telugu Text-to-Speech engine and the audio stream is returned to the app. • In parallel, the text is compared against my preview catalogue, currently stored as folder of pdfs together with the corresponding PD...

I have between 10 and 50 PDF documents that contain text I need copied out verbatim. Each file must be opened, the text accurately extracted—preserving paragraph breaks—and pasted into a single, clean file (plain .txt or Word is fine). No images or videos are involved; it is pure text. Accuracy is critical: the copied content should match the source exactly, without missing characters, line shifts, or hidden headers/footers. If any page includes non-selectable text, please use reliable OCR so nothing is lost. When you deliver, I expect: • One consolidated document in the agreed format • The text ordered in the same sequence as the original PDFs, clearly separated or labeled so I know which section came from which file If you’re comfortable handling multip...

Here’s a clear, step-by-step blueprint to help you start building this software/platform ASAP, without overcomplicating it. I’ll break it into business, technical, and product steps — so you can actually execute. Your Goal (Re-stated clearly) You want a system where a liquor store owner can upload invoice photos or PDFs, and your software automatically: Reads the invoice Understands product names, quantities, cost, vendor name Matches the items to the merchant’s POS inventory naming system Outputs a clean Excel/CSV file that the POS can import Ideally even pushes the inventory directly into the POS (future) This is invoice OCR + product mapping + POS integration. PHASE 1 — Plan the Foundation (1 week) 1. Define Inputs & Outputs Collect samples: 15–20...

I need a cross-platform mobile app that puts businesses on an interactive map and lets users rate them in the moment. Two core map features are non-negotiable: users must be able to search for a business (İşletme arama) and see or leave user reviews (Kullanıcı yorumları). The twist is the camera flow. After a purchase, the user points the phone at their receipt; the app scans it, recognises the store, and immediately opens the rating screen. An accurate, fast OCR layer (Google ML Kit, Tesseract or a solution you prefer) is therefore essential. I’m open to Google Maps, Mapbox or another reliable map SDK. The build can be native, Flutter or React Native as long as both iOS and Android are covered. Clean, well-commented source code and a short read-me for setup are part of the hand-...

I have a professionally typeset, fixed-layout PDF book that needs to be converted into a single, clean plain-text file. Every bit of textual content—running paragraphs, headings, image captions, and footnotes—must be captured. Wherever a figure or photo appears, simply include its caption and insert a clear placeholder such as “[Image]” on its own line so the reading order remains intact. The manuscript also contains numerous tables. Please rebuild each one directly inside the text file using spacing and lines so the column structure is obvious to a sight-reader (e.g., ASCII table styling). No table data should be lost or abbreviated. Accuracy is critical: the output should match the source exactly, free of OCR mistakes, split words, or missing accents. I will spo...

More details: What backend API do you use for validating and logging vehicle numbers? REST API Which camera functionalities are essential for your application? Auto-focus, Flash control, Zoom capabilities What should happen if the extracted number does not match the expected format? Display an error message

I have a single document that needs to exist in Google Docs and I want it to display my own creation and last-modified timestamps rather than the automatic ones. I will supply the exact dates and times for each field once we begin. What I need from you is a reliable way to embed those timestamps so that: • in Google Drive the “Created” and “Last modified” columns show my chosen dates You’re free to use whatever technique works—metadata editing tools, PowerShell, Python, Google Drive API, Office XML hacks—so long as the end result is two fully editable files reflecting the dates I provide. A short note on the steps you took will help me reproduce the process in the future. Absolute discretion is expected, as the documents are private.

I have a batch of JPEG scans that must be turned into clean, editable text. Accuracy is critical—misspellings, dropped lines, or formatting errors will slow the project down on my end, so I’m looking for someone who is comfortable running reliable OCR (ABBYY FineReader, Tesseract, Adobe Acrobat, or a comparable tool) and then proof-reading the output before delivery. Deliverable • One Word document (or plain-text file if you prefer) containing the extracted text, laid out in the same order as the source images. Acceptance criteria • OCR accuracy consistently above 98 % • No missing paragraphs, headers, or footnotes that appear in the original JPEGs • Final file delivered ready for copy-edit, with no need for additional clean-up If this first round...

I need a Nanonets OCR model trained so it can live inside a Zapier workflow and automatically feed Zapier Tables. The source material is a steady stream of Word documents along with occasional handwritten images. From the Word files the model must reliably capture names and full postal addresses; from the handwritten images it should grab email addresses that people jot down. Here is the flow I have in mind: once a new file lands in the designated cloud folder, Zapier calls the Nanonets endpoint, gets back the parsed data, and writes each record—name, street, city, state, ZIP, and email—sample descriptions and number of samples into its own row inside an existing Zapier Table. You’ll receive anonymized samples for both document types, plus access to my Nanonets dash...

I need an MVP that reliably signs in to India’s Government-e-Marketplace (GeM), navigates the tender section, and extracts every newly published tender that matches a few simple search filters. The run has to survive GeM’s multifactor login, pausing for my one-time password before it resumes. Once logged in, the robot should download each tender PDF, run OCR so all text becomes searchable, push both the raw file and the extracted JSON to an S3 bucket, and log every step so the entire flow is auditable later. The data will ultimately feed client-facing reports, so accuracy and repeatability are a must. Stack requirements • Playwright is non-negotiable for the browser automation • Python for the backend worker and API endpoints • Tesseract, AWS Textract, or an...

I have a batch of JPEG scans that must be turned into clean, editable text. Accuracy is critical—misspellings, dropped lines, or formatting errors will slow the project down on my end, so I’m looking for someone who is comfortable running reliable OCR (ABBYY FineReader, Tesseract, Adobe Acrobat, or a comparable tool) and then proof-reading the output before delivery. Deliverable • One Word document (or plain-text file if you prefer) containing the extracted text, laid out in the same order as the source images. Acceptance criteria • OCR accuracy consistently above 98 % • No missing paragraphs, headers, or footnotes that appear in the original JPEGs • Final file delivered ready for copy-edit, with no need for additional clean-up If this first round...

The core platform is already in place—React.js on the front end, a Node.js (Express) API, and an SQL database handling bookings. What I need now is a cohesive upgrade that turns the prototype into a production-ready, fully automated experience. Real-time slot visibility Slots must refresh live without a manual page reload. I want a push-based solution (WebSockets or Server-Sent Events) so every kiosk screen and mobile session shows the same availability the moment a car drives out. Instant booking confirmation Once a driver selects a bay and taps “Book”, an SMS should hit their phone in seconds. I’m open to Twilio, Nexmo, or any reliable SMS gateway you prefer, so long as delivery is fast and logs are stored against the booking record. Camera-based entry &...

I Hi! Need you to extract customer info-name, email, address, phone, site-from PDFs, Word files, images via OCR. List sample descriptions like drywall compound, popcorn ceilings, stairway lino, garage stucco; count them. Fill chain-of-custody form, email to right lab. Generate zero invoices with details. Use Node.js-no Python-so I can tweak it myself. Bid?need a small workflow that lifts key data from incoming PDFs, recognises handwritten figures on attached images, then turns all of that into ready-to-send Xero invoices and confirmation emails. What has to happen • Parse the email’s PDF attachment and pull out contact details, invoice numbers, dates, line-item descriptions, quantities and prices. • Run OCR on the accompanying handwritten images so any amounts or not...

I need a technically strong operator (not a full-stack developer) to help me build an MVP “Statement of Advice Generator” for commercial insurance brokers. The system will take inputs from a form, uploaded PDFs, and an API, process them through an n8n workflow, and output a formatted Word document. This is a workflow and automation build, not custom software development. What the system needs to do (MVP) 1. Form + Data Intake Build a multi-step form (can be Typeform, Jotform, or simple web form) Capture client data Connect Typeform API to n8n so renewal data flows into the workflow 2. File Upload Handling Brokers upload: Prior insurance schedule (PDF) Policy wording (PDF) ISR schedule (PDF) Files go into n8n for OCR/parsing Extract text into structured fields 3. AP...

Necesito una solución RPA que libere a mi equipo de la carga administrativa y repetitiva, procesando automáticamente el copiar y pegar información en los formularios de un sitio web. El objetivo es simple: Cargar archivos del tipo pdf en el sitio web en el cual se debe hacer clic sobre un expediente precargado y hacer copy y paste para ese expediente desde un archivo Excel, y a la vez cargar cada uno de los pdfs en cada apartado de los documentos que necesita el expediente, cada expediente es diferente para cargar sus documentos. Ingresar los datos de cada formulario (PDF y, ocasionalmente, imágenes escaneadas), validarlos con unas pocas reglas de negocio y cargar el resultado limpio en nuestro sistema interno. Puede usar UiPath, Automation Anywhere, Blue Prism...