--- title: "entaoai vs paperless-gpt" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/akshata29-entaoai-vs-icereed-paperless-gpt" tools: ["akshata29-entaoai", "icereed-paperless-gpt"] --- # entaoai vs paperless-gpt *GraphCanon updated Sep 20, 2026* ## Verdict Pick entaoai if for firms seeking to quickly integrate their enterprise data with OpenAI capabilities without extensive setup; pick paperless-gpt if paperless-gpt uses LLMs and OCR for document processing within the paperless-ngx framework, available in Go with MIT license. [entaoai](https://github.com/akshata29/entaoai) reports 866 GitHub stars, 245 forks, and 12 open issues, last pushed Jan 2, 2025. [paperless-gpt](https://github.com/icereed/paperless-gpt) has 2.7k stars, 208 forks, and 157 open issues, last pushed Sep 19, 2026. Figures are from public GitHub metadata via [entaoai's repository](https://github.com/akshata29/entaoai) and [paperless-gpt's repository](https://github.com/icereed/paperless-gpt). | | [entaoai](/tools/akshata29-entaoai.md) | [paperless-gpt](/tools/icereed-paperless-gpt.md) | | --- | --- | --- | | Tagline | Accelerator for uploading enterprise data and using OpenAI services to interact with it. | Document Digitalization powered by AI | | Stars | 866 | 2,702 | | Forks | 245 | 208 | | Open issues | 12 | 157 | | Language | TypeScript | Go | | Adopt for | For firms seeking to quickly integrate their enterprise data with OpenAI capabilities without extensive setup. | paperless-gpt uses LLMs and OCR for document processing within the paperless-ngx framework, available in Go with MIT license. | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT | | Categories | Data & Retrieval, LLM Frameworks | Computer Vision, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [entaoai](/tools/akshata29-entaoai.md) | [paperless-gpt](/tools/icereed-paperless-gpt.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Very active (96%) | | Days since push | 625d | 1d | | Open issues (now) | 12 | 157 | | Stars delta | 0 (30d) | +88 (30d) | | Open issues delta | 0 (30d) | -20 (30d) | | Full report | [trust report](/tools/akshata29-entaoai/trust.md) | [trust report](/tools/icereed-paperless-gpt/trust.md) | ## Decision facts: entaoai - **Adopt for:** For firms seeking to quickly integrate their enterprise data with OpenAI capabilities without extensive setup. ## Decision facts: paperless-gpt - **Adopt for:** paperless-gpt uses LLMs and OCR for document processing within the paperless-ngx framework, available in Go with MIT license. ## Choose when ### Choose entaoai if… - entaoai is primarily TypeScript; paperless-gpt is Go. - Tags unique to entaoai: azure, azure-functions, azure-openai, cognitive-search. - Also covers Data & Retrieval. - When you need an accelerator to rapidly upload and interact with your own enterprise data via chat. ### Choose paperless-gpt if… - paperless-gpt is primarily Go; entaoai is TypeScript. - Tags unique to paperless-gpt: ai, document-processing, llm, ocr. - Also covers Computer Vision. - paperless-gpt ships Docker support for self-hosted deployment. - Need integration with existing paperless-ngx setup ## When NOT to use entaoai - Avoid if you prefer not to incorporate OpenAI's services for interacting with your enterprise data. - Not recommended for those looking to use a competitor like Pinecone that focuses on vector-store based queries rather than chat interaction. ## When NOT to use paperless-gpt - Looking for a tool that operates independently of paperless-ngx infrastructure - Prefer solutions not requiring configuration for different LLM providers - Require real-time high-volume processing where additional latency from AI integration is undesirable ## Common questions ### What is the difference between entaoai and paperless-gpt? entaoai: Accelerator for uploading enterprise data and using OpenAI services to interact with it.. paperless-gpt: Document Digitalization powered by AI. See the comparison table for live GitHub stats and shared categories. ### When should I choose entaoai over paperless-gpt? Choose entaoai over paperless-gpt when entaoai is primarily TypeScript; paperless-gpt is Go; Tags unique to entaoai: azure, azure-functions, azure-openai, cognitive-search; Also covers Data & Retrieval; When you need an accelerator to rapidly upload and interact with your own enterprise data via chat. ### When should I choose paperless-gpt over entaoai? Choose paperless-gpt over entaoai when paperless-gpt is primarily Go; entaoai is TypeScript; Tags unique to paperless-gpt: ai, document-processing, llm, ocr; Also covers Computer Vision; paperless-gpt ships Docker support for self-hosted deployment; Need integration with existing paperless-ngx setup. ### When should I avoid entaoai? Avoid if you prefer not to incorporate OpenAI's services for interacting with your enterprise data. Not recommended for those looking to use a competitor like Pinecone that focuses on vector-store based queries rather than chat interaction. ### When should I avoid paperless-gpt? Looking for a tool that operates independently of paperless-ngx infrastructure Prefer solutions not requiring configuration for different LLM providers Require real-time high-volume processing where additional latency from AI integration is undesirable ### Is entaoai or paperless-gpt more popular on GitHub? paperless-gpt has more GitHub stars (2,702 vs 866). Stars measure visibility, not whether either tool fits your constraints. ### Are entaoai and paperless-gpt open source? Yes - both are open-source projects on GitHub (entaoai: MIT, paperless-gpt: MIT). ### Where can I find alternatives to entaoai or paperless-gpt? GraphCanon lists graph-backed alternatives at [entaoai alternatives](/tools/akshata29-entaoai/alternatives) and [paperless-gpt alternatives](/tools/icereed-paperless-gpt/alternatives) ([entaoai markdown twin](/tools/akshata29-entaoai/alternatives.md), [paperless-gpt markdown twin](/tools/icereed-paperless-gpt/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/akshata29-entaoai-vs-icereed-paperless-gpt.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, entaoai or paperless-gpt? entaoai: Dormant. paperless-gpt: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for entaoai and paperless-gpt? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [entaoai trust report](/tools/akshata29-entaoai/trust); [paperless-gpt trust report](/tools/icereed-paperless-gpt/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=akshata29-entaoai`](/api/graphcanon/graph?tool=akshata29-entaoai) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_