Free OCR API: How to Build Text Extraction into Your App
Building an app that needs text extraction? This guide covers the best OCR APIs available — with code examples, pricing breakdowns, and recommendations for different use cases.
OCR API Options for Developers
There are three main categories of OCR APIs: cloud services (paid per use), self-hosted open source (free but requires infrastructure), and free-tier online tools (limited but zero cost).
Cloud OCR APIs (Google, AWS, Azure)
Pay-per-use pricing. High accuracy. Requires API keys and billing setup. Best for production apps with consistent traffic.
Self-Hosted (Tesseract)
Free and open source. Requires server infrastructure and ML expertise. Accuracy is lower than cloud services without fine-tuning.
Free Online Tools (FastOCR)
Zero cost, no API key needed. Best for prototyping, personal projects, or low-volume extraction. Upload via browser or integrate programmatically.
Pricing Comparison
| API | Free Tier | Paid Pricing | Languages |
|---|---|---|---|
| FastOCR | Unlimited images | Free | 31+ |
| Google Cloud Vision | 1,000/mo free | $1.50 per 1,000 | 100+ |
| AWS Textract | 1,000/mo free (12mo) | $1.50 per 1,000 | English primary |
| Azure Computer Vision | 5,000/mo free (12mo) | $1.00 per 1,000 | 100+ |
| Tesseract (self-host) | Unlimited | Free (infra costs) | 100+ |
| OCR.space | 25,000/mo free | $29/mo | 20+ |
Code Examples
Most OCR APIs follow the same shape: you hand over a file, then read back the text. FastOCR uploads straight to storage with a short-lived URL, so large PDFs never pass through the API itself.
Python — Using requests
import os, uuid, requests
BASE = "https://api.fastocr.org"
headers = {"Authorization": f"Bearer {os.environ['FASTOCR_KEY']}"}
# 1. Create the job
job = requests.post(
f"{BASE}/v1/documents",
headers={**headers, "Idempotency-Key": str(uuid.uuid4())},
json={"filename": "receipt.pdf", "size_bytes": os.path.getsize("receipt.pdf")},
).json()
# 2. Upload the file to the presigned URL
with open("receipt.pdf", "rb") as f:
requests.put(job["upload_url"], data=f,
headers={"Content-Type": "application/pdf"})
# 3. Start processing, then poll until it finishes
requests.post(f"{BASE}/v1/documents/{job['id']}/start", headers=headers)
# 4. Download the text once status is "completed"
out = requests.get(f"{BASE}/v1/documents/{job['id']}/output?format=text",
headers=headers).json()
print(requests.get(out["url"]).text)cURL
curl -s -X POST "https://api.fastocr.org/v1/documents" \
-H "Authorization: Bearer $FASTOCR_KEY" \
-H "Idempotency-Key: $(uuidgen)" \
-H "Content-Type: application/json" \
-d '{"filename":"receipt.pdf","size_bytes":12345}'The full request and response reference — including bank statement extraction to Excel, and what each error code means — lives in the API documentation. The API is currently in private beta.
Self-Hosting Tesseract
Tesseract is the most popular open-source OCR engine. It is free to use and supports over 100 languages. Here is a quick setup:
- Install Tesseract:
apt install tesseract-ocrorbrew install tesseract - Install language packs:
apt install tesseract-ocr-arab tesseract-ocr-hin - Run OCR:
tesseract input.png output.txt
For production use, wrap Tesseract in an API using Flask, FastAPI, or Express.js. Add image preprocessing (contrast enhancement, deskewing) to improve accuracy significantly.
When to Use Each Option
- Prototyping or personal project — use FastOCR (free, zero setup)
- Production app with < 1K pages/month — Google Cloud Vision free tier
- Production app with > 10K pages/month — Tesseract self-hosted (cheapest at scale)
- Enterprise with compliance needs — Azure or AWS with SLA and encryption
- Multilingual documents — Google Cloud Vision or FastOCR (best language coverage)
Try FastOCR — No API Key Needed
FastOCR extracts text from images and PDFs with no API key, no rate limit, and no cost for image OCR. Try it now.
Try FastOCR Free