Image OCR — Extract Text from Images
Pricing
from $5.00 / 1,000 image ocrs
Image OCR — Extract Text from Images
Extract text from images, photos, screenshots and scans using Tesseract OCR. Returns recognized text with a confidence score. Supports many languages.
Pricing
from $5.00 / 1,000 image ocrs
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Rosario Vitale
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Turn images into text. Send one or more image URLs and get back the recognized text with a confidence score — powered by the Tesseract OCR engine, with support for 100+ languages.
Perfect for receipts, invoices, screenshots, photos of documents, business cards, signs, labels and any picture that contains text.
Features
- 🔤 Accurate OCR — built on Tesseract, a battle-tested open-source OCR engine.
- 🌍 Multi-language — English, Italian, French, German, Spanish, Portuguese and many more; combine several for multilingual images.
- 📈 Confidence score — every result includes how confident the engine is.
- 📦 Batch — extract text from many images in a single run.
- 🛡️ Robust — no website to scrape, nothing to break: pure on-engine processing.
Input
| Field | Type | Description |
|---|---|---|
imageUrls | array of strings | Direct links to the images (required). |
languages | array of strings | Tesseract language codes, e.g. ["eng"] or ["eng","ita"]. Default ["eng"]. |
Example input
{"imageUrls": ["https://tesseract.projectnaptha.com/img/eng_bw.png"],"languages": ["eng"]}
Output
One dataset item per image:
{"url": "https://tesseract.projectnaptha.com/img/eng_bw.png","success": true,"language": "eng","confidence": 92.4,"text": "The (quick) [brown] {fox} jumps! Over the $43,456.78 ..."}
Export as JSON, CSV, or Excel, or pull via the Apify API.
Common use cases
- Digitize receipts and invoices into searchable text.
- Extract text from screenshots and photos of documents.
- Read business cards, labels, signs and forms.
- Feed image text into search, spreadsheets, or LLM/RAG pipelines.
Notes
- Works best on clear, high-contrast images. Blurry or low-resolution photos reduce accuracy.
- For multilingual images, pass all relevant language codes (e.g.
["eng","ita"]). imageUrlsmust be direct links to the image file.