--- title: "dograh vs typewhisper-mac" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/dograh-hq-dograh-vs-typewhisper-typewhisper-mac" tools: ["dograh-hq-dograh", "typewhisper-typewhisper-mac"] --- # dograh vs typewhisper-mac *GraphCanon updated Jul 30, 2026* ## Verdict Pick dograh if self-hosted voice AI platform with speech-to-speech, LLM integration, telephony support; pick typewhisper-mac if typeWhisper/mac is an on-device speech-to-text application specifically designed for macOS users with Apple Silicon processors. It emphasizes privacy and local processing by avoiding cloud services. [dograh](https://app.dograh.com) reports 5.1k GitHub stars, 1.2k forks, and 20 open issues, last pushed Jul 29, 2026. [typewhisper-mac](https://github.com/TypeWhisper/typewhisper-mac) has 1.7k stars, 121 forks, and 60 open issues, last pushed Jul 30, 2026. Figures are from public GitHub metadata via [dograh's repository](https://github.com/dograh-hq/dograh) and [typewhisper-mac's repository](https://github.com/TypeWhisper/typewhisper-mac). | | [dograh](/tools/dograh-hq-dograh.md) | [typewhisper-mac](/tools/typewhisper-typewhisper-mac.md) | | --- | --- | --- | | Tagline | Self-hosted open source voice AI platform | Local speech-to-text for macOS on-device AI with privacy features | | Stars | 5,064 | 1,652 | | Forks | 1,185 | 121 | | Open issues | 20 | 60 | | Language | Python | Swift | | Adopt for | Self-hosted voice AI platform with speech-to-speech, LLM integration, telephony support | TypeWhisper/mac is an on-device speech-to-text application specifically designed for macOS users with Apple Silicon processors. It emphasizes privacy and local processing by avoiding cloud services. | | Persona | - | - | | Runtime | - | - | | License | BSD-2-Clause | GPL-3.0 | | Categories | Inference & Serving, Speech & Audio | Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [dograh](/tools/dograh-hq-dograh.md) | [typewhisper-mac](/tools/typewhisper-typewhisper-mac.md) | | --- | --- | --- | | Open issues (now) | 20 | 60 | | Full report | [trust report](/tools/dograh-hq-dograh/trust.md) | [trust report](/tools/typewhisper-typewhisper-mac/trust.md) | ## Decision facts: dograh - **Adopt for:** Self-hosted voice AI platform with speech-to-speech, LLM integration, telephony support ## Decision facts: typewhisper-mac - **Adopt for:** TypeWhisper/mac is an on-device speech-to-text application specifically designed for macOS users with Apple Silicon processors. It emphasizes privacy and local processing by avoiding cloud services. ## Choose when ### Choose dograh if… - dograh is primarily Python; typewhisper-mac is Swift. - License: dograh is BSD-2-Clause, typewhisper-mac is GPL-3.0. - Tags unique to dograh: conversational-ai, local-llm, self-hosted, telephony. - Also covers Inference & Serving. - You need on-premise deployment for better security or data control ### Choose typewhisper-mac if… - typewhisper-mac is primarily Swift; dograh is Python. - License: typewhisper-mac is GPL-3.0, dograh is BSD-2-Clause. - Tags unique to typewhisper-mac: apple-silicon, dictation, macos, on-device. - - When you prioritize privacy and want to avoid having your data sent to the cloud ## When NOT to use dograh - Seeking cloud-managed services without self-hosting capabilities - Need real-time collaboration with non-local models in the cloud - Preference is for tools under different licenses than BSD-2-Clause - Must integrate with platforms that lack native telephony support ## When NOT to use typewhisper-mac - - Not suitable for systems running on Intel processors due to the requirement for Apple Silicon - - If your Mac is running an older version of macOS prior to Sonoma (14.0), as this application necessitates this OS or later versions - - For users who require speech-to-text functionality across multiple platforms, since TypeWhisper/mac is exclusively for macOS ## Common questions ### What is the difference between dograh and typewhisper-mac? dograh: Self-hosted open source voice AI platform. typewhisper-mac: Local speech-to-text for macOS on-device AI with privacy features. See the comparison table for live GitHub stats and shared categories. ### When should I choose dograh over typewhisper-mac? Choose dograh over typewhisper-mac when dograh is primarily Python; typewhisper-mac is Swift; License: dograh is BSD-2-Clause, typewhisper-mac is GPL-3.0; Tags unique to dograh: conversational-ai, local-llm, self-hosted, telephony; Also covers Inference & Serving; You need on-premise deployment for better security or data control. ### When should I choose typewhisper-mac over dograh? Choose typewhisper-mac over dograh when typewhisper-mac is primarily Swift; dograh is Python; License: typewhisper-mac is GPL-3.0, dograh is BSD-2-Clause; Tags unique to typewhisper-mac: apple-silicon, dictation, macos, on-device; - When you prioritize privacy and want to avoid having your data sent to the cloud. ### When should I avoid dograh? Seeking cloud-managed services without self-hosting capabilities Need real-time collaboration with non-local models in the cloud Preference is for tools under different licenses than BSD-2-Clause Must integrate with platforms that lack native telephony support ### When should I avoid typewhisper-mac? - Not suitable for systems running on Intel processors due to the requirement for Apple Silicon - If your Mac is running an older version of macOS prior to Sonoma (14.0), as this application necessitates this OS or later versions - For users who require speech-to-text functionality across multiple platforms, since TypeWhisper/mac is exclusively for macOS ### Is dograh or typewhisper-mac more popular on GitHub? dograh has more GitHub stars (5,064 vs 1,652). Stars measure visibility, not whether either tool fits your constraints. ### Are dograh and typewhisper-mac open source? Yes - both are open-source projects on GitHub (dograh: BSD-2-Clause, typewhisper-mac: GPL-3.0). ### Where can I find alternatives to dograh or typewhisper-mac? GraphCanon lists graph-backed alternatives at [dograh alternatives](/tools/dograh-hq-dograh/alternatives) and [typewhisper-mac alternatives](/tools/typewhisper-typewhisper-mac/alternatives) ([dograh markdown twin](/tools/dograh-hq-dograh/alternatives.md), [typewhisper-mac markdown twin](/tools/typewhisper-typewhisper-mac/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/dograh-hq-dograh-vs-typewhisper-typewhisper-mac.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, dograh or typewhisper-mac? dograh: Very active. typewhisper-mac: 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 dograh and typewhisper-mac? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [dograh trust report](/tools/dograh-hq-dograh/trust); [typewhisper-mac trust report](/tools/typewhisper-typewhisper-mac/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=dograh-hq-dograh`](/api/graphcanon/graph?tool=dograh-hq-dograh) - 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/_