Text Extraction API
Extract and parse documents with OCR support and PII removal.
Pricing
Free tier
Flat rate
Adoption
↘CoolingLicense
Open Source
Data freshness
Verified · Jul 12, 2026Overview
What is Text Extraction API?
The Text Extraction API extracts text from various document formats including PDFs, Word files, and images using OCR technology. It supports anonymization of documents by removing personally identifiable information (PII) and converting documents into structured JSON or Markdown.
Key differentiator
“Text Extraction API stands out as a robust, open-source solution for developers looking to integrate advanced OCR capabilities with PII removal directly into their applications without the need for cloud services.”
Capability profile
Capability Radar
Honest assessment
Strengths & Weaknesses
↑ Strengths
↓ Weaknesses
API requires Python-specific patterns, TypeScript SDK is community-maintained
v0.1 to v0.2 migration required rewriting chain definitions
Poor performance on scanned documents with poor resolution or non-standard fonts
High memory usage and long processing times when handling large PDFs or high-resolution images
Few active contributors and slow response time for issues on GitHub
Fit analysis
Who is it for?
✓ Best for
Developers needing to integrate OCR-based text extraction into their projects.
Teams working with sensitive data requiring PII removal before processing.
Projects aiming to convert unstructured documents into structured formats for easier analysis.
✕ Not a fit for
Applications that require real-time document processing and immediate response.
Scenarios where cloud-hosted solutions are preferred over self-hosting.
Cost structure
Pricing
Free Tier
Available
Open source — free to use
Starts at
$0
Model
Flat rate
Enterprise
None
Performance benchmarks
How Fast Is It?
Ecosystem
Relationships
Works well with
Next step
Get Started with Text Extraction API
Step-by-step setup guide with code examples and common gotchas.