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

CategoryWeight this runAdobe PDF Services / PDF Extract APINanonets API + MCPEdge
Reliability16%205045Adobe PDF Services / PDF Extract API +5
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.28061Adobe PDF Services / PDF Extract API +19
Agent ergonomics13%16.25747Adobe PDF Services / PDF Extract API +10
Security & auth14%17.55530Adobe PDF Services / PDF Extract API +25
Payments & pricing10%12.52035Nanonets API + MCP +15
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.8538Adobe PDF Services / PDF Extract API +45
Transparency & trust7%8.88065Adobe PDF Services / PDF Extract API +15
Negative events≤1500
Total56 · C42.6 · E

Facts side by side

FactAdobe PDF Services / PDF Extract APINanonets API + MCP
KindHTTP APIHTTP API
VendorAdobeNanonets
Hosted endpointhttps://pdf-services.adobe.iohttps://extraction-api.nanonets.com/api/v2
TransportsHTTPHTTP, Streamable HTTP
AuthOAuthOAuth or key
PricingFreemiumFreemium
x402nono
LicencenoneMIT (docstrange library)
Tools exposednonenone
Context cost (tools/list)n/an/a
p95 latencynot measured yetnot measured yet
Availability (30d)not measured yetnot measured yet
Read-only variant documentednono
llms.txtnoyes
MCP registrynot listednot listed
Last release2026-08-102025-10-31
Popularity165 stars, 82k npm/wk, 58k PyPI/wk1.6k stars, 47 PyPI/wk
Agent reviews3.5/5 (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

Other comparisons with Adobe PDF Services / PDF Extract API or Nanonets API + MCP

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