---
title: "OGAM vs auto-subs"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/off-grid-ai-off-grid-ai-mobile-vs-tmoroney-auto-subs"
tools: ["off-grid-ai-off-grid-ai-mobile", "tmoroney-auto-subs"]
---

# OGAM vs auto-subs

*GraphCanon updated Sep 20, 2026*

## Verdict

Pick OGAM if oGAM is a versatile offline AI toolkit that supports a wide range of functionalities including chat, vision, speech-to-text, and image generation, all of which can be performed on mobile and Mac devices without the need; pick auto-subs if auto-subs is an on-device subtitle generation tool built with TypeScript and Rust for seamless integration with DaVinci Resolve, Premiere.

[OGAM](https://getoffgridai.co/pro/) reports 3.1k GitHub stars, 298 forks, and 151 open issues, last pushed Sep 18, 2026. [auto-subs](https://tom-moroney.com/auto-subs/) has 4.3k stars, 284 forks, and 295 open issues, last pushed Sep 19, 2026. Figures are from public GitHub metadata via [OGAM's repository](https://github.com/off-grid-ai/OGAM) and [auto-subs's repository](https://github.com/tmoroney/auto-subs).

| | [OGAM](/tools/off-grid-ai-off-grid-ai-mobile.md) | [auto-subs](/tools/tmoroney-auto-subs.md) |
| --- | --- | --- |
| Tagline | Swiss Army Knife of Offline AI | On-device subtitle generation for video editing software. |
| Stars | 3,124 | 4,250 |
| Forks | 298 | 284 |
| Open issues | 151 | 295 |
| Language | TypeScript | TypeScript |
| Adopt for | OGAM is a versatile offline AI toolkit that supports a wide range of functionalities including chat, vision, speech-to-text, and image generation, all of which can be performed on mobile and Mac devices without the need | Auto-subs is an on-device subtitle generation tool built with TypeScript and Rust for seamless integration with DaVinci Resolve, Premiere, and After Effects. |
| Persona | - | - |
| Runtime | - | - |
| License | MIT License, allowing for free use, modification, and distribution of the software. | MIT |
| Categories | Computer Vision, Developer Tools, Inference & Serving, LLM Frameworks, Speech & Audio | Developer Tools, Speech & Audio |

## Trust and health

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

| | [OGAM](/tools/off-grid-ai-off-grid-ai-mobile.md) | [auto-subs](/tools/tmoroney-auto-subs.md) |
| --- | --- | --- |
| Open issues (now) | 151 | 295 |
| Stars delta | +269 (30d) | +311 (30d) |
| Open issues delta | +14 (30d) | +97 (30d) |
| Owner type | Organization | User |
| Full report | [trust report](/tools/off-grid-ai-off-grid-ai-mobile/trust.md) | [trust report](/tools/tmoroney-auto-subs/trust.md) |

## Decision facts: OGAM

- **Pricing:** freemium - The core functionality is free, but premium features or services may be available for purchase.
- **Requirements:** Min 4 GB RAM; Supports CPU, GPU, and NPU for running AI models.; Available for Android, iOS, and macOS devices.
- **Adopt for:** OGAM is a versatile offline AI toolkit that supports a wide range of functionalities including chat, vision, speech-to-text, and image generation, all of which can be performed on mobile and Mac devices without the need
- **License detail:** MIT License, allowing for free use, modification, and distribution of the software.

## Decision facts: auto-subs

- **Pricing:** freemium - Freely downloadable under the MIT license but consider supporting the developer for continued improvements.
- **Requirements:** Min 4 GB RAM
- **Adopt for:** Auto-subs is an on-device subtitle generation tool built with TypeScript and Rust for seamless integration with DaVinci Resolve, Premiere, and After Effects.

## Choose when

### Choose OGAM if…

- Pricing: The core functionality is free, but premium features or services may be available for purchase..
- Requirements: Min 4 GB RAM; Supports CPU, GPU, and NPU for running AI models.; Available for Android, iOS, and macOS devices..
- Tags unique to OGAM: android, edge-ai, gguf, ios.
- Also covers Computer Vision, Inference & Serving, LLM Frameworks.
- OGAM ships an MCP server manifest.
- When you need a comprehensive offline AI toolkit that supports chat, vision, speech-to-text, and image generation on mobile and Mac devices.

### Choose auto-subs if…

- Pricing: Freely downloadable under the MIT license but consider supporting the developer for continued improvements..
- Requirements: Min 4 GB RAM.
- Tags unique to auto-subs: ai, cross-platform, davinci-resolve, premiere.
- Use Auto-subs when you need seamless subtitle integration directly within video editing software like DaVinci Resolve, Premiere, or After Effects.

## When NOT to use OGAM

- If you need real-time cloud-based AI services that require internet access for data processing and model updates.
- When you are working in an environment where the use of local AI models is restricted or not supported by the hardware available.
- If your project requires integration with specific cloud APIs or services that OGAM does not support due to its offline nature.

## When NOT to use auto-subs

- Do not use Auto-subs if the requirement is for cloud-based real-time speech-to-text functionality as it operates entirely on-device.
- Avoid using Auto-subs in environments where Python or other languages are required over TypeScript and Rust due to potential compatibility issues.

## Common questions

### What is the difference between OGAM and auto-subs?

OGAM: Swiss Army Knife of Offline AI. auto-subs: On-device subtitle generation for video editing software.. See the comparison table for live GitHub stats and shared categories.

### When should I choose OGAM over auto-subs?

Choose OGAM over auto-subs when Pricing: The core functionality is free, but premium features or services may be available for purchase.; Requirements: Min 4 GB RAM; Supports CPU, GPU, and NPU for running AI models.; Available for Android, iOS, and macOS devices.; Tags unique to OGAM: android, edge-ai, gguf, ios; Also covers Computer Vision, Inference & Serving, LLM Frameworks; OGAM ships an MCP server manifest; When you need a comprehensive offline AI toolkit that supports chat, vision, speech-to-text, and image generation on mobile and Mac devices.

### When should I choose auto-subs over OGAM?

Choose auto-subs over OGAM when Pricing: Freely downloadable under the MIT license but consider supporting the developer for continued improvements.; Requirements: Min 4 GB RAM; Tags unique to auto-subs: ai, cross-platform, davinci-resolve, premiere; Use Auto-subs when you need seamless subtitle integration directly within video editing software like DaVinci Resolve, Premiere, or After Effects.

### When should I avoid OGAM?

If you need real-time cloud-based AI services that require internet access for data processing and model updates. When you are working in an environment where the use of local AI models is restricted or not supported by the hardware available. If your project requires integration with specific cloud APIs or services that OGAM does not support due to its offline nature.

### When should I avoid auto-subs?

Do not use Auto-subs if the requirement is for cloud-based real-time speech-to-text functionality as it operates entirely on-device. Avoid using Auto-subs in environments where Python or other languages are required over TypeScript and Rust due to potential compatibility issues.

### Is OGAM or auto-subs more popular on GitHub?

auto-subs has more GitHub stars (4,250 vs 3,124). Stars measure visibility, not whether either tool fits your constraints.

### Are OGAM and auto-subs open source?

Yes - both are open-source projects on GitHub (OGAM: MIT, auto-subs: MIT).

### Where can I find alternatives to OGAM or auto-subs?

GraphCanon lists graph-backed alternatives at [OGAM alternatives](/tools/off-grid-ai-off-grid-ai-mobile/alternatives) and [auto-subs alternatives](/tools/tmoroney-auto-subs/alternatives) ([OGAM markdown twin](/tools/off-grid-ai-off-grid-ai-mobile/alternatives.md), [auto-subs markdown twin](/tools/tmoroney-auto-subs/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/off-grid-ai-off-grid-ai-mobile-vs-tmoroney-auto-subs.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, OGAM or auto-subs?

OGAM: Very active. auto-subs: 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 OGAM and auto-subs?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [OGAM trust report](/tools/off-grid-ai-off-grid-ai-mobile/trust); [auto-subs trust report](/tools/tmoroney-auto-subs/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=off-grid-ai-off-grid-ai-mobile`](/api/graphcanon/graph?tool=off-grid-ai-off-grid-ai-mobile)
- 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/_
