extract_text_ocr
shallowio.github.razikallayi/razi-tools · Verify this server
Use this ONLY when the text exists as PIXELS and nothing else — a photo, a screenshot, a scan. It runs optical character recognition on an image and GUESSES the characters, so it is a best-effort transcription that misreads under blur, skew or low contrast. Returns JSON { text, language, confidence? }. If the file already stores real characters, this is the wrong tool and will be less accurate: parse_document reads them exactly. The deciding question is what the bytes contain, never the file extension — a .png of a letter needs this tool, a .txt never does. Layout is not preserved — no tables, columns or coordinates, just a flat string. Paid compute; 20 calls per hour per IP. There is no upload channel over MCP: pass `fileUrl`, a URL in razi.pro's own storage; third-party URLs are rejected. Obtain one by uploading the image over the REST API first (POST /api/v1/tools/execute with the file attached).
1 trials · measured 27 days ago
extract_text_ocr scores 100.0/100 on Vouch's measured behaviour index, from 1 real invocation trials against io.github.razikallayi/razi-tools, measured 11 Sept 2026 under methodology v0.2.0. Every measured component scored 100.
Component breakdown
| Component | Weight | Value |
|---|---|---|
| Reliability | 35% | not applicable |
| Schema integrity | 25% | 100.0 |
| Failure behaviour | 15% | not applicable |
| Latency | 15% | not applicable |
| Concurrency | 10% | not applicable |
Tool details
- Transport
- remote + stdio
- Credential class
- self-provisionable
- Input schema
- not declared
- Output schema
- not declared
- Side-effect classification
- unclassified
Score history
| Day | Score | Tier | Methodology |
|---|---|---|---|
| 2026-09-11 | 100.0 | shallow | v0.2.0 |
Probe evidence
| Probe | Outcomes |
|---|---|
| schema_integrity | pass: 1 |
Raw request/response logs are not archived yet — the outcome counts above are drawn directly from every recorded trial.
Embed this score
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[](https://vouch.tools/tools/8529e4f2-cc33-4006-95fc-6b074449d7db)