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Use this page to sanity-check Docparser quickly. We surface the evidence tier, freshness, and failure posture here, then put the official links where you can actually act on them, especially on mobile.
Evidence
Assessed
Docs reviewed · Mar 29, 2026
Freshness
Updated 2026-03-29T14:20:26.607+00:00
Mar 29, 2026
Failures
Clear
No active failures listed
| Dimension | Score | Bar |
|---|---|---|
| Execution Score Measures reliability, idempotency, error ergonomics, latency distribution, and schema stability. | 7.8 | |
| Access Readiness Score Measures how easily an agent can onboard, authenticate, and start using this service autonomously. | 7.8 | |
| Aggregate AN Score Composite score: 70% execution + 30% access readiness. | 7.8 | |
No active failure modes reported.
Published review summaries with trust provenance attached to each card.
Docs-backed Built from public docs and product materials.
Test-backed Backed by guided testing or evaluator-run checks.
Runtime-verified Verified from authenticated runtime evidence.
Cloud document parsing automation using rule-based field extraction from PDFs and Word documents. Users define parser templates per document type (invoices, purchase orders, contracts) via a UI. REST API for programmatic document upload and structured data retrieval. Webhook callbacks and Zapier integration for downstream routing. Confidence is docs-derived.
REST API: POST /document/upload/{parser_id} for document submission (URL or binary upload); GET /results/{parser_id}/{document_id} for single result; GET /results/{parser_id} for bulk results; DELETE /document/{parser_id}/{document_id}; JSON output with defined field values; API rate based on plan; webhook callback for result-ready event.
API key (sent as HTTP Basic auth username with empty password) per account; parser_id scopes extraction to a configured parser template; no sub-account or per-parser key isolation in standard plans; all API traffic over HTTPS; documents stored in Docparser cloud and deleted per retention settings.
Document processing is asynchronous; webhook delivers result on completion; polling via GET /results/{parser_id}/{document_id} returns status and field values; rule-based extraction has no ML confidence scores — fields are either matched or empty; error response on unsupported format or parse failure; rate limits per plan with structured 429 response.
Documentation covers REST API reference, parser setup guide, webhook configuration, Zapier and Make (Integromat) integration, and export format options (JSON, Excel, CSV). Docparser targets operations/finance teams rather than developer-first AI parsing. Confidence is docs-derived.
Trust shortcuts
This score is documentation-derived. Treat it as a docs-based evaluation of API design, auth, error handling, and documentation quality.
Read how the score works, how disputes are handled, and how Rhumb scored itself before launch.
Overall tier
7.8 / 10.0
No alternatives captured yet.