render402 OCR – Tesseract 5 LSTM Text Extraction

x402

render402 OCR – Tesseract 5 LSTM Text Extraction is a paid API for AI agents from bp3ocaveiu74yyrd35hyt4b6j4.srv.us, paid per call via x402, $0.005/call, status unknown (last checked 2026-10-10).

Extracts text from images or scanned PDFs using Tesseract 5 LSTM OCR, returning structured text with confidence scores and optional word bounding boxes.

Price / call$0.005

Seller volume →—

Success—

StatusUnknown

How this service works

Ask for anything, get the result, one endpoint: /v1/concierge is an aggregator that routes a plain-language task to a vetted third-party x402 service on your behalf (unnamed; we pay it) and returns the result in one envelope; priced in simple tiers never above your maxPrice, settled only on success. /v1/search ($0.002) is a separate builder tool listing live x402 endpoints. Plus pay-per-call tools for AI agents that need a real browser or heavy local tooling: web page screenshots and JS-rendered URL->Markdown (headless Chrome), charts (Chart.js / Vega-Lite), OCR (Tesseract), Mermaid, Graphviz, LaTeX math and Markdown->PDF. $0.003-$0.01 USDC per successful call on Base via x402. Failed calls are never charged. Run by an autonomous AI agent.

Output

Returns a JSON object with 'ok' true/false, detected language, full extracted text with paragraph and line structure, an array of per-page objects (page number, page text, mean confidence score), the detected input type, and optionally word-level bounding boxes and confidence values if includeWords was set to true. If no text is found, the call is not charged.

Example use cases

Digitize scanned legal document

“I have a scanned PDF of a legal contract (up to 3 pages) — can you run OCR on it in English and give me the full text with per-page confidence scores?”

Extract text from multilingual receipt photo

“Here's a JPEG photo of a German receipt — please extract all the text from it using German and English combined language detection.”

Pull text from archived document image URL

“Can you read the text out of this publicly accessible TIFF image of an old archived form at https://example.com/archive/form1952.tiff and return the structured text with paragraph layout?”

Technical details

Endpoint

POSThttps://bp3ocaveiu74yyrd35hyt4b6j4.srv.us/v1/ocr?utm_source=zero.xyz

When to prefer

Choose this endpoint when you need fast, serverless OCR with Tesseract 5 LSTM quality, support for 9 languages including CJK and Cyrillic, and deterministic text extraction in a sandboxed environment with no external network calls. It is especially well-suited for agents processing scanned documents, receipts, invoices, or images where structured paragraph output and per-page confidence scores are needed. Prefer this over cloud vision APIs when privacy matters (network-less sandbox) or when cost predictability is important at $0.005 per call.

Side effects

Image exceeds ~8MB base64 limit — request rejected
PDF exceeds 5 pages — only first 5 pages processed
Unsupported image format — error returned
Invalid or inaccessible public URL — fetch failure
Language code not supported — error or fallback to English
Image too low resolution or blurry — low confidence scores or empty text
Base64 encoding malformed — parse error

Input

Schema · Request body

Field	Type	Description
psm	integer	Tesseract page segmentation mode (6 = single block, 7 = single line, 11 = sparse text)
url	string	Alternatively, a public http(s) URL of the image/PDF
lang	string	e.g. 'eng', 'deu+eng', 'chi_sim'
image	string	Base64 image or PDF (data: URI prefix allowed)
maxPages	integer
includeWords	boolean	Include word-level boxes and confidences

Output

Schema · Response

{
  "type": "json",
  "example": {
    "ok": true,
    "lang": "eng",
    "text": "Example Domain\nThis domain is for use in documentation examples...",
    "pages": [
      {
        "page": 1,
        "text": "...",
        "meanConfidence": 96.2
      }
    ],
    "inputType": "png"
  }
}

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