extract_pdf_text
shallowio.github.fabwaseem/benchline · Verify this server
Read the selectable text layer of a PDF. Returns per-page text, markdown-style headings, and an o200k token count. Does not OCR scans. Send base64 or a public URL. Private addresses are refused.
100.0/100
1 trials · measured today
extract_pdf_text scores 100.0/100 on Vouch's measured behaviour index, from 1 real invocation trials against io.github.fabwaseem/benchline, measured 20 Oct 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
- Credential class
- open
- Input schema
- not declared
- Output schema
- not declared
- Side-effect classification
- unclassified
Score history
| Day | Score | Tier | Methodology |
|---|---|---|---|
| 2026-10-20 | 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/6df502b5-a053-4673-8cc4-6a32f2f84f47)