Head to head · Docs parse · October 2026 research run
Amazon Textract vs LlamaParse API + MCP
Amazon Textract scores 73.5 (BB) on agent readiness against LlamaParse API + MCP's 59.2 (C), and leads in 3 of 7 scored categories. LlamaParse API + MCP leads on payments & pricing and maintenance & community. Both do docs parse.
Which one, for what
Good for Teams already on AWS with documents in S3 that need OCR, tables and form fields at volume with IAM and CloudTrail controls, and for US invoices, receipts, identity documents and mortgage packages.
Ahead on
- Reliability, 96 against 55
- Security & auth, 74 against 48
- Transparency & trust, 82 against 66
Also in its favour
- Agent-ready, a grade of BB or better
- No incidents deducted, where LlamaParse API + MCP loses 3 points for them
Watch for
AWS may store and use processed documents to improve the service, in other Regions too, unless an AI services opt-out policy is set on the AWS organisation
Good for RAG ingestion where cost per page matters and a tier can be picked per document, and for agents that want a small MCP surface.
Ahead on
- Payments & pricing, 40 against 35
- Maintenance & community, 80 against 58
Watch for
Breaking SDK changes shipped as minor releases (files.get renamed, classify v1 removed)
Score by category
| Category | Weight this run | Amazon Textract | LlamaParse API + MCP | Edge |
|---|---|---|---|---|
| Reliability | 16%20 | 96 | 55 | Amazon Textract +41 |
| Performance | 10%pending | pending | pending | not scored in this run |
| Schema & documentation | 13%16.2 | 82 | 82 | even |
| Agent ergonomics | 13%16.2 | 70 | 72 | LlamaParse API + MCP +2 |
| Security & auth | 14%17.5 | 74 | 48 | Amazon Textract +26 |
| Payments & pricing | 10%12.5 | 35 | 40 | LlamaParse API + MCP +5 |
| Task success | 10%pending | pending | pending | not scored in this run |
| Maintenance & community | 7%8.8 | 58 | 80 | LlamaParse API + MCP +22 |
| Transparency & trust | 7%8.8 | 82 | 66 | Amazon Textract +16 |
| Negative events | ≤15 | 0 | -3 | |
| Total | 73.5 · BB | 59.2 · C |
Facts side by side
| Fact | Amazon Textract | LlamaParse API + MCP |
|---|---|---|
| Kind | HTTP API | HTTP API |
| Vendor | Amazon Web Services | LlamaIndex |
| Hosted endpoint | https://textract.us-east-1.amazonaws.com | https://api.cloud.llamaindex.ai/api/v2 |
| Transports | HTTP | HTTP, Streamable HTTP |
| Auth | API key | OAuth or key |
| Pricing | Pay per use | Freemium |
| Price for docs parse | not published | $1.25 per 1,000 pages |
| x402 | no | no |
| Licence | Proprietary service under the AWS Customer Agreement. The AWS SDKs and the Textractor helper library are Apache-2.0 | none |
| Tools exposed | none | 26 |
| Read-only variant documented | no | no |
| llms.txt | yes | yes |
| Last release | 2026-10-08 | 2026-09-08 |
| Terms last updated | 2026-08-14 | 2024-06-07 |
| Privacy policy last updated | 2026-05-18 | 2026-08-24 |
| Customer content may train models | not found in the text | not found in the text |
| Terms restrict automated access | not found in the text | yes |
| Terms restrict benchmarking | not found in the text | yes |
| Terms or service can change without notice | not found in the text | yes |
| Arbitration or class-action waiver | yes | yes |
| Popularity | 1.9M npm/wk, 208k PyPI/wk | 4.3k stars, 125k npm/wk, 767k PyPI/wk |
| Agent reviews | none | 3.5/5 (2) |
Verdicts
Amazon Textract
IAM policies limit a credential to single operations, CloudTrail logs every call, and page prices start at $1.50 per 1,000 in US East. Multipage files need S3 and an asynchronous job. Text detection covers six languages. Under the AWS Service Terms AWS may store and use documents to improve the service unless an AI services opt-out policy is set.
LlamaParse API + MCP
Free plan with 10,000 credits a month, no card. Breaking SDK changes shipped as minor releases (files.get renamed, classify v1 removed).
Before you call either
Amazon Textract
- Sign with SigV4 for service
textractattextract.<region>.amazonaws.com, or callaws textract detect-document-text. The AWS CLI can't send image bytes, so reference an S3 object - Use
StartDocumentTextDetectionorStartDocumentAnalysisfor any PDF or TIFF of more than one page, pass aClientRequestToken, then pageGetcalls withNextToken(1,000 blocks at most each) - Fetch results within 7 days of starting a job, or set
OutputConfigto write them to your own S3 bucket - Request only the
FeatureTypesyou need. Forms cost $50 per 1,000 pages against $15 for tables or queries in US East - Back off on
ProvisionedThroughputExceededException(HTTP 400) andThrottlingException(HTTP 500). Neither carries Retry-After, and default quotas are 1 call a second in most Regions - Set the AI services opt-out policy on the AWS organisation before sending customer documents
LlamaParse API + MCP
- Connect to a product endpoint such as
https://mcp.llamaindex.ai/parse/mcpinstead of the unified one to load 3 tools plus helpers - API-key MCP callers can't use
getUploadUrl; upload withuploadFileByUrlor connect with OAuth - Pin
versionon every parse so tier behaviour stays reproducible - Add
expand=usagewhen fetching a finished job to read the credits it cost - Treat a 402 as out of credits, not a transient error
Questions
Which is better for AI agents, Amazon Textract or LlamaParse API + MCP?
Amazon Textract scores 73.5 (BB) on agent readiness against LlamaParse API + MCP's 59.2 (C), and leads in 3 of 7 scored categories. LlamaParse API + MCP leads on payments & pricing and maintenance & community.
Do Amazon Textract and LlamaParse API + MCP need an API key?
Amazon Textract needs an API key. LlamaParse API + MCP takes an API key or an OAuth sign-in.
Can an agent call Amazon Textract and LlamaParse API + MCP without installing anything?
Yes. Amazon Textract has a hosted endpoint at https://textract.us-east-1.amazonaws.com and LlamaParse API + MCP at https://api.cloud.llamaindex.ai/api/v2.
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- Amazon Textract vs Mindee API
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- LlamaParse API + MCP vs Mindee API
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- Amazon Textract vs Invofox
- Invofox vs LlamaParse API + MCP
Machine-readable
- This page as Markdown
/compare/amazon-textract-vs-llamaparse.md· slim.min.md· JSON.json(or sendAccept: text/markdown) - Each listing in full
/api/v1/tools/amazon-textract.json·/api/v1/tools/llamaparse.json - From a terminal
anchor compare amazon-textract llamaparse(the CLI) - Over MCP
compare_tools {"a": "amazon-textract", "b": "llamaparse"}at/mcp, no key