# 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. Category scores, facts, verdicts and agent notes side by side.

- Canonical: https://www.anchorterminal.com/compare/adobe-pdf-extract-vs-nanonets
- Markdown: https://www.anchorterminal.com/compare/adobe-pdf-extract-vs-nanonets.md (~1,650 tokens)
- Slim: https://www.anchorterminal.com/compare/adobe-pdf-extract-vs-nanonets.min.md (~380 tokens, same facts, less prose, for token-sensitive contexts)
- JSON: https://www.anchorterminal.com/compare/adobe-pdf-extract-vs-nanonets.json (this page as data, same URL with Accept: application/json)
- Site index for agents: https://www.anchorterminal.com/llms.txt (full text: https://www.anchorterminal.com/llms-full.txt)
- API: https://www.anchorterminal.com/api/v1/index.json
- Updated: 2026-10-04

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.

- Adobe PDF Services / PDF Extract API: grade C, 56/100, rank #307 of 452. Markdown https://www.anchorterminal.com/tools/adobe-pdf-extract.md · JSON https://www.anchorterminal.com/api/v1/tools/adobe-pdf-extract.json
- Nanonets API + MCP: grade E, 42.6/100, rank #413 of 452. Markdown https://www.anchorterminal.com/tools/nanonets.md · JSON https://www.anchorterminal.com/api/v1/tools/nanonets.json

## 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 | Adobe PDF Services / PDF Extract API | Nanonets API + MCP | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 50 | 45 | Adobe PDF Services / PDF Extract API +5 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 80 | 61 | Adobe PDF Services / PDF Extract API +19 |
| Agent ergonomics | 13% (16.2 this run) | 57 | 47 | Adobe PDF Services / PDF Extract API +10 |
| Security & auth | 14% (17.5 this run) | 55 | 30 | Adobe PDF Services / PDF Extract API +25 |
| Payments & pricing | 10% (12.5 this run) | 20 | 35 | Nanonets API + MCP +15 |
| Task success | 10%, pending | pending | pending | not scored in this run |
| Maintenance & community | 7% (8.8 this run) | 53 | 8 | Adobe PDF Services / PDF Extract API +45 |
| Transparency & trust | 7% (8.8 this run) | 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

1. Cache the access token and reuse it until it expires
2. Budget 1 Document Transaction per 5 pages for Extract and PDF to Markdown, so 500 free transactions cover about 2,500 pages
3. Pass `notifiers` with a callback URL instead of polling the job status
4. Use `pdf-services-ew1.adobe.io` when documents must stay in the EU
5. Check `/operation/pdfproperties` first, since copy-protected PDFs fail Extract with DISQUALIFIED_PERMISSIONS

### Nanonets API + MCP

1. Use the extraction API at `extraction-api.nanonets.com`, not `app.nanonets.com`, unless you already have a trained model
2. Pass a JSON schema in `json_options` when downstream code needs fixed field names
3. Use the async extract endpoints for long documents and poll `/api/v1/extract/results/{record_id}`
4. On a 429, wait 30 seconds and double the delay each retry
5. Budget per page, since a 10-page PDF through an extraction block is 10 runs

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