Image OCR Extractor — Image to Text Conversion

Screenshot OCR & image text extractor — convert images to text using Tesseract OCR. Batch process up to 50 images (PNG, JPG, WebP, TIFF, BMP), 100+ languages, auto image enhancement, confidence scores. $0.002/image. First 5 free.

Keywords: OCR, image to text, Tesseract, text recognition, screenshot OCR, receipt digitizer, document scanner, photo text reader, multilingual OCR, batch image processing

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Why this exists

Images containing text — screenshots, scanned receipts, invoices, product labels, whiteboards, scanned forms — can't be searched, processed, or fed into workflows until the text is extracted. This actor handles the full OCR pipeline: download the image, auto-preprocess it, run Tesseract, and return structured JSON with confidence scores. No setup, no GPU, no API key required.

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What you get

{
  "index": 1,
  "url": "https://example.com/screenshot.png",
  "ok": true,
  "text": "Invoice #2024-001\nBill To: Acme Corp\nTotal: $1,250.00",
  "word_count": 9,
  "confidence": 87.4,
  "auto_enhanced": false,
  "language": "eng",
  "error": null
}

auto_enhanced: true means the actor detected low confidence on the first pass and automatically re-ran OCR with threshold (binarize) preprocessing — no configuration needed.

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Input Parameters

Parameter	Type	Default	Description
urls	array	—	List of image URLs (batch mode, up to 50)
url	string	—	Single image URL (used when urls is empty)
language	string	eng	Tesseract language code (eng, deu, fra, spa, jpn, chi_sim, kor, or combined eng+deu)
preprocessing	string	grayscale	Image preprocessing: none, grayscale, or threshold (binarize)
pageSegMode	integer	3	Tesseract PSM: 3=auto, 6=block, 7=line, 8=word, 11=sparse
limit	integer	50	Max images to process (cap: 200)

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Quick start

Single image

{
  "url": "https://example.com/invoice.png"
}

Batch of screenshots

{
  "urls": [
    "https://example.com/slide1.png",
    "https://example.com/slide2.png"
  ],
  "language": "eng",
  "preprocessing": "grayscale"
}

Japanese document

{
  "url": "https://example.com/japanese-receipt.jpg",
  "language": "jpn",
  "preprocessing": "threshold",
  "pageSegMode": 6
}

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Preprocessing Tips

Mode	Best for
grayscale	Photos, colored backgrounds, most general use
threshold	Documents with dark text on white background, typed forms
none	When the image is already clean B&W

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Supported Languages (pre-installed)

eng (English), deu (German), fra (French), spa (Spanish), jpn (Japanese), chi_sim (Simplified Chinese), kor (Korean)

Multi-language: "eng+fra" — useful for bilingual documents.

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Pricing

Pay-Per-Event: $0.002 per image successfully OCR-processed. First 5 images per run are free.

Images	Charged	Cost
5 screenshots	0	free
10 screenshots	5	$0.01
50 images (full batch)	45	$0.09
200 product photos	195	$0.39

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Use cases

1. Invoice & receipt OCR — Extract line items, totals, dates, vendor names from receipt photos or scans
2. Screenshot text extraction — Turn UI screenshots, error messages, or social media screenshots into searchable text
3. Multilingual document processing — Japanese, Chinese, Korean, Arabic, and 100+ European languages
4. Form digitization — Handwritten or typed form fields from scanned documents
5. Whiteboard & slide photos — Meeting notes, presentation slides, or diagram text
6. Photo text reader — Read text from product labels, street signs, book pages, menus
7. Data pipeline integration — Batch OCR for large archives; feed output to LLMs or databases

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Supported URL types

Paste any of these directly — no manual conversion needed:

• Direct image URLs — https://example.com/image.png
• Google Drive share links — https://drive.google.com/file/d/FILE_ID/view → auto-converted to direct download
• Dropbox share links — https://www.dropbox.com/s/.../file.png?dl=0 → auto-converted to direct download

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Confidence score

Each result includes a confidence score (0–100) from Tesseract:

• 85–100: High quality OCR, likely accurate
• 60–84: Moderate, review critical fields
• < 60: Low confidence — the actor automatically retries with threshold preprocessing. The auto_enhanced field tells you when this happened

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Related actors (same author)

• PDF Text & Table Extractor — PDF version with table detection
• Web Page → Markdown Converter — HTML text extraction

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Feedback

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