OCR — Text Recognition

Extract text from images and scanned PDF documents using optical character recognition.

Automated Document Understanding Examples

Invoices & Receipts

Financial calculations and billing amounts

Tabular Reports

Grid alignment structures into CSV sheets

Standardized Forms

Phone, email, and ID field details recognition

Contracts & Articles

Notion typography structure transcription

Signatures & Seals

Verify key locations and validation points

Dual Language Scans

Arabic and multi-lang correction accuracy

Next steps

Use this checklist to turn a new account into a repeatable workflow.

Account

Complete your first signed-in task

Process at least one file while logged in so your workspace history and metrics start filling in.

Account

Decide if you need Pro limits

Upgrade when you need higher quotas, API access, or a cleaner team workflow.

Pricing

Create an API key

Pro users can generate API keys to connect document processing to internal tools or customer flows.

Get an API key

What This Tool Does

Extract text from images and scanned PDF documents using Optical Character Recognition (OCR). Our Tesseract-powered engine supports English, Arabic, and French text recognition with high accuracy.

How to Use It

  1. Choose the source type: Image or PDF.
  2. Upload your file.
  3. Select the OCR language (English, Arabic, or French).
  4. Click Extract Text and copy the result.

Why Use Our OCR — Text Recognition?

  • Supports English, Arabic, and French
  • Works with images and scanned PDFs
  • High accuracy with Tesseract OCR engine
  • Copy extracted text with one click
  • Free with no signup needed

Common Use Cases

  • Digitizing scanned paper documents
  • Extracting text from screenshots
  • Converting image-based PDFs to searchable text
  • Transcribing text from photos
  • Extracting data from receipts or invoices

From our experts

Expert Tip

OCR accuracy drops below 80% when source images are under 200 DPI. For best results, scan documents at 300 DPI with high contrast settings. Our Tesseract-based engine achieves 99%+ accuracy on clean 300 DPI English text, and 95%+ on Arabic script with proper pre-processing.

Best Practice

Always select the correct source language before OCR processing. Multi-language documents should be processed in separate batches per language for highest accuracy. Our engine supports English, Arabic, and French with automatic script detection.

Trust & Security

OCR processing runs entirely inside isolated containers. Extracted text is delivered to you and immediately purged. We do not train AI models on your OCR data, and no human reviews your documents.

Harnessing Artificial Intelligence for File Workflows

AI-assisted file tools enable teams to search scanned archives, translate complex legal briefs, and chat directly with long manuals, changing document processing into active database analysis.

High-Accuracy OCR & Text Searchability

Optical Character Recognition (OCR) translates static pixels in scanned PDFs and photos into machine-readable characters. This is essential for legal, financial, and educational archiving where searching by text is a core requirement. Our AI models support high-accuracy multilingual OCR, including complex Arabic cursive scripts, converting raw images into searchable, copyable, and indexable text assets within seconds.

Document Summarization and AI Chat Agents

When dealing with extensive research papers or legal contracts, AI summarization highlights core terms and decisions without requiring hours of manual reading. Interactive PDF Chat allows you to query the file directly, extract definitions, build tables, and clarify ambiguous clauses. All AI analysis is performed programmatically; your query history and document contents are strictly private and never used to train global AI models.

Frequently Asked Questions

OCR (Optical Character Recognition) is a technology that converts images of text into editable, searchable text data.

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