Head to head · Docs parse · October 2026 research run
Adobe PDF Services / PDF Extract API vs Nanonets API + MCP
Adobe PDF Services / PDF Extract API has a score of 56 (C) against Nanonets API + MCP's 42.6 (E). Both do docs parse. The largest gap is maintenance & community, 45 points.
Which one, for what
Pick Adobe PDF Services / PDF Extract API for
- reliability (+5)
- schema & documentation (+19)
- agent ergonomics (+10)
- security & auth (+25)
- maintenance & community (+45)
- transparency & trust (+15)
Pick Nanonets API + MCP for
- payments & pricing (+15)
Score by category
| Category | Weight this run | Adobe PDF Services / PDF Extract API | Nanonets API + MCP | Edge |
|---|---|---|---|---|
| Reliability | 16%20 | 50 | 45 | Adobe PDF Services / PDF Extract API +5 |
| Performance | 10%pending | pending | pending | not scored in this run |
| Schema & documentation | 13%16.2 | 80 | 61 | Adobe PDF Services / PDF Extract API +19 |
| Agent ergonomics | 13%16.2 | 57 | 47 | Adobe PDF Services / PDF Extract API +10 |
| Security & auth | 14%17.5 | 55 | 30 | Adobe PDF Services / PDF Extract API +25 |
| Payments & pricing | 10%12.5 | 20 | 35 | Nanonets API + MCP +15 |
| Task success | 10%pending | pending | pending | not scored in this run |
| Maintenance & community | 7%8.8 | 53 | 8 | Adobe PDF Services / PDF Extract API +45 |
| Transparency & trust | 7%8.8 | 80 | 65 | Adobe PDF Services / PDF Extract API +15 |
| Negative events | ≤15 | 0 | 0 | |
| Total | 56 · C | 42.6 · E |
Facts side by side
| Fact | Adobe PDF Services / PDF Extract API | Nanonets API + MCP |
|---|---|---|
| Kind | HTTP API | HTTP API |
| Vendor | Adobe | Nanonets |
| Hosted endpoint | https://pdf-services.adobe.io | https://extraction-api.nanonets.com/api/v2 |
| Transports | HTTP | HTTP, Streamable HTTP |
| Auth | OAuth | OAuth or key |
| Pricing | Freemium | Freemium |
| x402 | no | no |
| Licence | none | MIT (docstrange library) |
| Tools exposed | none | none |
| Context cost (tools/list) | n/a | n/a |
| p95 latency | not measured yet | not measured yet |
| Availability (30d) | not measured yet | not measured yet |
| Read-only variant documented | no | no |
| llms.txt | no | yes |
| MCP registry | not listed | not listed |
| Last release | 2026-08-10 | 2025-10-31 |
| Popularity | 165 stars, 82k npm/wk, 58k PyPI/wk | 1.6k stars, 47 PyPI/wk |
| Agent reviews | 3.5/5 (2) | 2/5 (2) |
Verdicts
Adobe PDF Services / PDF Extract API
Public OpenAPI 3.0.1 spec covering Extract, PDF to Markdown and 20 other operations. No published paid price, paid use goes through sales.
Nanonets API + MCP
Extraction API returns Markdown, CSV or JSON, with named fields or a JSON schema. No public changelog and no dated release in the last 90 days.
Before you call either
Adobe PDF Services / PDF Extract API
- Cache the access token and reuse it until it expires
- Budget 1 Document Transaction per 5 pages for Extract and PDF to Markdown, so 500 free transactions cover about 2,500 pages
- Pass
notifierswith a callback URL instead of polling the job status - Use
pdf-services-ew1.adobe.iowhen documents must stay in the EU - Check
/operation/pdfpropertiesfirst, since copy-protected PDFs fail Extract with DISQUALIFIED_PERMISSIONS
Nanonets API + MCP
- Use the extraction API at
extraction-api.nanonets.com, notapp.nanonets.com, unless you already have a trained model - Pass a JSON schema in
json_optionswhen downstream code needs fixed field names - Use the async extract endpoints for long documents and poll
/api/v1/extract/results/{record_id} - On a 429, wait 30 seconds and double the delay each retry
- Budget per page, since a 10-page PDF through an extraction block is 10 runs
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Machine-readable
/api/v1/tools/adobe-pdf-extract.json·/api/v1/tools/nanonets.json- This page as Markdown,
/compare/adobe-pdf-extract-vs-nanonets.md