# LandingAI Agentic Document Extraction vs OpenDocRouter (slim)

> LandingAI Agentic Document Extraction scores 69 (B) to OpenDocRouter's 56.6 (C) for document parsing. OpenDocRouter is cheaper for document parsing, $0.80 against $15 per 1,000 pages. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/landingai-agentic-document-extraction-vs-opendocrouter.md (~3,100 tokens) · this version ~780 tokens · JSON https://www.anchorterminal.com/compare/landingai-agentic-document-extraction-vs-opendocrouter.json · canonical https://www.anchorterminal.com/compare/landingai-agentic-document-extraction-vs-opendocrouter
- Index: https://www.anchorterminal.com/llms.txt · API: https://www.anchorterminal.com/api/v1/index.json · Updated: 2026-10-09

LandingAI Agentic Document Extraction scores 69 (B) on agent readiness against OpenDocRouter's 56.6 (C), and leads in 6 of 7 scored categories. OpenDocRouter leads on agent ergonomics. Both do document parsing. OpenDocRouter is cheaper for document parsing, $0.80 against $15 per 1,000 pages.

- LandingAI Agentic Document Extraction: B 69, rank #199 of 950 · https://www.anchorterminal.com/tools/landingai-agentic-document-extraction.min.md
- OpenDocRouter: C 56.6, rank #630 of 950 · https://www.anchorterminal.com/tools/opendocrouter.min.md
- LandingAI Agentic Document Extraction, good for Agents that need Markdown with block-level page coordinates and schema extraction with citations, in the US or EU. Ahead on Reliability, 85 against 43; Payments & pricing, 40 against 30; Maintenance & community, 85 against 65; Transparency & trust, 63 against 47.
- OpenDocRouter, good for Agents that need page-level markdown from PDFs and images and want to choose or compare models on price and published benchmark scores with one key. Ahead on Agent ergonomics, 84 against 75. Also Cheaper for document parsing, $0.80 against $15 per 1,000 pages.

| Category | LandingAI Agentic Document Extraction | OpenDocRouter |
| --- | --- | --- |
| Reliability (16%) | 85 | 43 |
| Performance (10%) | pending | pending |
| Schema & documentation (13%) | 88 | 85 |
| Agent ergonomics (13%) | 75 | 84 |
| Security & auth (14%) | 43 | 40 |
| Payments & pricing (10%) | 40 | 30 |
| Task success (10%) | pending | pending |
| Maintenance & community (7%) | 85 | 65 |
| Transparency & trust (7%) | 63 | 47 |

| Fact (where they differ) | LandingAI Agentic Document Extraction | OpenDocRouter |
| --- | --- | --- |
| Vendor | LandingAI, Inc. | LlamaIndex |
| Hosted endpoint | `https://api.ade.landing.ai` | `https://www.opendocrouter.ai/v1` |
| Price for document parsing | $15 per 1,000 pages | $0.80 per 1,000 pages |
| Licence | Proprietary service under LandingAI's terms for Agentic Document Extraction. The Python and TypeScript libraries and the CLI are Apache-2.0, and the skills repository is MIT | Proprietary service under the LlamaIndex Terms of Service with an OpenDocRouter addendum. The Python and TypeScript SDKs are MIT |
| llms.txt | yes | no |
| Last release | 2026-09-22 | 2026-10-07 |
| Terms last updated | no date given | 2026-10-07 |
| Privacy policy last updated | no date given | 2024-03-30 |
| Customer content may train models | yes | not found in the text |
| Terms restrict automated access | yes | not found in the text |
| Terms or service can change without notice | not found in the text | yes |
| Arbitration or class-action waiver | not found in the text | yes |
| Popularity | none | 127 PyPI/wk |