agentsvc.io OCR – Image Text Extraction is a paid API for AI agents from agentsvc.io, paid per call via x402, $0.009/call, status unknown (last checked 2026-10-10).
Extracts text from base64-encoded images using Tesseract OCR with configurable language and page segmentation mode.
86 APIs for AI agents: web scraping and crawling to Markdown, AI summaries, data extraction and cited answers, screenshots and PDF, PDF, OCR and document conversion, news, paper and developer search and more, paid per call with USDC on Base, Solana, Polygon or Arbitrum via x402. No account, no API key, free sample on every service.
Returns a JSON object with the full extracted text string, detected language code, word count, character count, a confidence score (0–100), timestamp of processing, and processing duration in milliseconds.
POSThttps://agentsvc.io/api/v1/proxy/ocr?utm_source=zero.xyzChoose this endpoint when you need to extract text from images without setting up an account or managing API keys, want per-call USDC micropayment pricing, or need multilingual OCR with configurable segmentation modes. It is ideal for agents that occasionally process documents, receipts, or forms rather than needing a high-volume batch OCR pipeline.
| Field | Type | Description |
|---|---|---|
| psm | integer | Page Segmentation Mode. 3 = fully automatic (default, best for most images). 6 = single uniform block of text. 7 = single text line. 11 = sparse text (find text anywhere). 13 = raw line (no line ordering). Use 6 or 7 for forms/labels. |
| language | string | Tesseract language code. Default: 'eng' (English). Other supported: 'deu' (German), 'fra' (French), 'spa' (Spanish), 'ita' (Italian), 'por' (Portuguese), 'rus' (Russian), 'chi_sim' (Chinese Simplified), 'jpn' (Japanese), 'ara' (Arabic), 'kor' (Korean), 'nld' (Dutch), 'pol' (Polish). Use '+' to combine: 'eng+deu'. |
| image_base64 | string | Base64-encoded image. Supported formats: PNG, JPEG, WebP, TIFF, BMP. Max 10 MB decoded. For best results use high-contrast images with clear text. |
{
"type": "json",
"example": {
"data": {
"text": "Invoice #12345\nDate: April 10, 2026\n\nBill To:\nJohn Smith\n123 Main Street\n\nTotal Due: $1,250.00",
"language": "eng",
"char_count": 72,
"confidence": 94,
"word_count": 18,
"processed_at": "2026-04-10T14:00:00.000Z",
"processing_ms": 1840
},
"success": true
}
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