---
title: "docs vs Chat-with-Scanned-Documents"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/sismics-docs-vs-tony-xlh-chat-with-scanned-documents"
tools: ["sismics-docs", "tony-xlh-chat-with-scanned-documents"]
---

# docs vs Chat-with-Scanned-Documents

*GraphCanon updated Sep 20, 2026*

## Verdict

Pick docs if docs is a lightweight document management system that offers comprehensive functionalities including OCR and media conversion tools, accessible via Docker; pick Chat-with-Scanned-Documents if leverages Dynamic Web TWAIN for scanning and Tesseract.js for text extraction, integrating LangChain for chat functionality.

[docs](https://teedy.io) reports 2.6k GitHub stars, 686 forks, and 113 open issues, last pushed Aug 17, 2026. [Chat-with-Scanned-Documents](https://github.com/tony-xlh/Chat-with-Scanned-Documents) has 6 stars, 3 forks, and 0 open issues, last pushed May 25, 2023. Figures are from public GitHub metadata via [docs's repository](https://github.com/sismics/docs) and [Chat-with-Scanned-Documents's repository](https://github.com/tony-xlh/Chat-with-Scanned-Documents).

| | [docs](/tools/sismics-docs.md) | [Chat-with-Scanned-Documents](/tools/tony-xlh-chat-with-scanned-documents.md) |
| --- | --- | --- |
| Tagline | Lightweight document management system | A demo chatting with documents scanned using Dynamic Web TWAIN and Tesseract.js |
| Stars | 2,565 | 6 |
| Forks | 686 | 3 |
| Open issues | 113 | 0 |
| Language | JavaScript | JavaScript |
| Adopt for | docs is a lightweight document management system that offers comprehensive functionalities including OCR and media conversion tools, accessible via Docker. | Leverages Dynamic Web TWAIN for scanning and Tesseract.js for text extraction, integrating LangChain for chat functionality. |
| Persona | - | - |
| Runtime | - | - |
| License | GPL-2.0 | MIT |
| Categories | Data & Retrieval, Developer Tools | Data & Retrieval, Developer Tools |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [docs](/tools/sismics-docs.md) | [Chat-with-Scanned-Documents](/tools/tony-xlh-chat-with-scanned-documents.md) |
| --- | --- | --- |
| Maintenance | Active (82%) | Dormant (18%) |
| Days since push | 29d | 1214d |
| Open issues (now) | 113 | 0 |
| Stars delta | +8 (30d) | 0 (30d) |
| Open issues delta | -1 (30d) | 0 (30d) |
| Owner type | Organization | User |
| Full report | [trust report](/tools/sismics-docs/trust.md) | [trust report](/tools/tony-xlh-chat-with-scanned-documents/trust.md) |

## Decision facts: docs

- **Requirements:** Requires Docker; Requires Java 11, Tesseract 4 for OCR, ffmpeg for video thumbnails, mediainfo for video metadata extraction.
- **Adopt for:** docs is a lightweight document management system that offers comprehensive functionalities including OCR and media conversion tools, accessible via Docker.

## Decision facts: Chat-with-Scanned-Documents

- **Adopt for:** Leverages Dynamic Web TWAIN for scanning and Tesseract.js for text extraction, integrating LangChain for chat functionality.

## Choose when

### Choose docs if…

- License: docs is GPL-2.0, Chat-with-Scanned-Documents is MIT.
- Requirements: Requires Docker; Requires Java 11, Tesseract 4 for OCR, ffmpeg for video thumbnails, mediainfo for video metadata extraction..
- Tags unique to docs: cloud, dms, docker, document.
- docs ships Docker support for self-hosted deployment.
- Use docs when you require an open-source solution with the capabilities of high-end document management systems but prefer something lightweight.

### Choose Chat-with-Scanned-Documents if…

- License: Chat-with-Scanned-Documents is MIT, docs is GPL-2.0.
- Tags unique to Chat-with-Scanned-Documents: document scanning, dynamic web twain, langchain, ocr.
- Need to interact with content from scanned documents

## When NOT to use docs

- Do not use docs in environments where strict security protocols are necessary, as default configurations like the 'admin' password must be changed manually before production.
- Avoid this tool if your document management needs can't tolerate occasional instability during development or when you need a highly reliable and stable environment throughout.

## When NOT to use Chat-with-Scanned-Documents

- Situations demanding real-time, high-volume document scanning and processing
- Applications requiring more advanced AI chat capabilities beyond LangChain

## Common questions

### What is the difference between docs and Chat-with-Scanned-Documents?

docs: Lightweight document management system. Chat-with-Scanned-Documents: A demo chatting with documents scanned using Dynamic Web TWAIN and Tesseract.js. See the comparison table for live GitHub stats and shared categories.

### When should I choose docs over Chat-with-Scanned-Documents?

Choose docs over Chat-with-Scanned-Documents when License: docs is GPL-2.0, Chat-with-Scanned-Documents is MIT; Requirements: Requires Docker; Requires Java 11, Tesseract 4 for OCR, ffmpeg for video thumbnails, mediainfo for video metadata extraction.; Tags unique to docs: cloud, dms, docker, document; docs ships Docker support for self-hosted deployment; Use docs when you require an open-source solution with the capabilities of high-end document management systems but prefer something lightweight.

### When should I choose Chat-with-Scanned-Documents over docs?

Choose Chat-with-Scanned-Documents over docs when License: Chat-with-Scanned-Documents is MIT, docs is GPL-2.0; Tags unique to Chat-with-Scanned-Documents: document scanning, dynamic web twain, langchain, ocr; Need to interact with content from scanned documents.

### When should I avoid docs?

Do not use docs in environments where strict security protocols are necessary, as default configurations like the 'admin' password must be changed manually before production. Avoid this tool if your document management needs can't tolerate occasional instability during development or when you need a highly reliable and stable environment throughout.

### When should I avoid Chat-with-Scanned-Documents?

Situations demanding real-time, high-volume document scanning and processing Applications requiring more advanced AI chat capabilities beyond LangChain

### Is docs or Chat-with-Scanned-Documents more popular on GitHub?

docs has more GitHub stars (2,565 vs 6). Stars measure visibility, not whether either tool fits your constraints.

### Are docs and Chat-with-Scanned-Documents open source?

Yes - both are open-source projects on GitHub (docs: GPL-2.0, Chat-with-Scanned-Documents: MIT).

### Where can I find alternatives to docs or Chat-with-Scanned-Documents?

GraphCanon lists graph-backed alternatives at [docs alternatives](/tools/sismics-docs/alternatives) and [Chat-with-Scanned-Documents alternatives](/tools/tony-xlh-chat-with-scanned-documents/alternatives) ([docs markdown twin](/tools/sismics-docs/alternatives.md), [Chat-with-Scanned-Documents markdown twin](/tools/tony-xlh-chat-with-scanned-documents/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/sismics-docs-vs-tony-xlh-chat-with-scanned-documents.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, docs or Chat-with-Scanned-Documents?

docs: Active. Chat-with-Scanned-Documents: Dormant. 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 docs and Chat-with-Scanned-Documents?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [docs trust report](/tools/sismics-docs/trust); [Chat-with-Scanned-Documents trust report](/tools/tony-xlh-chat-with-scanned-documents/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=sismics-docs`](/api/graphcanon/graph?tool=sismics-docs)
- 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/_
