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License: MIT Any use incl. commercial
Local-run terms: MIT license permits commercial use, modification, and distribution with attribution.

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Mispher

FreeOpen SourceSelf-HostedAgentic

Pricing

Model
Free

Summary

Dictation tools that route your voice through a cloud API are one misconfigured privacy policy away from logging every message, password, and private note you speak aloud — Mispher exists because that risk is unacceptable for some workflows.

Mispher runs speech-to-text and a lightweight local agent entirely on-device, targeting Apple Silicon Macs running macOS 26 and above. You dictate into any focused app field, issue spoken rewrite or translation instructions, or let the agent pull context from your screen, files, and notes — no packet ever leaves the machine. The MIT license means you can inspect, fork, and self-host without restriction. The ceiling arrives quickly: no API surface means integration into external pipelines requires custom code, and the agent's scope is bounded by what a local tool loop on a single Mac can reach.

Bottom line: Mispher is the right call when your dictation workflow handles sensitive material that cannot touch a third-party server — it breaks down the moment you need that agent to hand off to a remote service or coordinate across more than one machine.

Community Performance Report Card

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Best For: macOS users seeking fully private STT, Apple Silicon devices running macOS 26+, Workflows combining voice input with light agent actions, Developers or power users wanting local tool integration

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  • Fully on-device transcription and agent execution, which means audio never transits a third-party server — eliminating the compliance exposure that cloud STT tools carry for legal, medical, or confidential workflows.
  • Dictates directly into any focused app field without a clipboard intermediary, so you avoid the copy-paste step that breaks flow in tools that require you to dictate into a dedicated window first.
  • Spoken rewrite and translation instructions operate on selected text in place, which means you stay in the document instead of context-switching to a separate AI interface.
  • MIT license with self-hosted option, so auditing the codebase or pinning a specific release for a regulated environment is a straightforward repository operation rather than a vendor negotiation.
  • Agent loop pulls context from screen, files, and notes locally, which means it can answer questions grounded in your actual working context without sending that context to a remote model.
  • No API surface is exposed, so any attempt to call Mispher's transcription or agent capabilities from an external script, automation, or application requires forking and modifying the source — teams building voice-enabled products will hit this wall before their first integration and switch to a tool like Whisper.cpp served behind a local HTTP endpoint.
  • The agent's reach is bounded by what a local tool loop on one Mac can access; the moment a workflow requires writing to a shared database, calling a webhook, or coordinating with a second machine, the agent cannot complete the task and there is no plugin or extension mechanism described in the available documentation to bridge that gap.
  • macOS 26 and Apple Silicon are hard requirements, which means the tool is unavailable to anyone on Intel Macs or any non-Apple hardware — teams with mixed device environments cannot standardize on this tool across the org.

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About

Platforms
macOS (Apple Silicon)
API Available
No
Self-Hosted
Yes
Last Updated
2026-07-13T16:24:28.059Z

Best For

Who it's for

  • macOS users seeking fully private STT
  • Apple Silicon devices running macOS 26+
  • Workflows combining voice input with light agent actions
  • Developers or power users wanting local tool integration

What it does well

  • Dictate text directly into any focused app field
  • Rewrite selected paragraphs via spoken instructions
  • Translate spoken input on the fly into another language
  • Ask questions and let the local agent gather info from screen/files/notes

Integrations

Apple Notessystem clipboardfilesMCP serversscreen capture

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Frequently Asked Questions

Is Mispher free?
Yes — Mispher is fully free to use. There is no paid tier.
Is Mispher open source?
Yes. Mispher is open source.
Can I self-host Mispher?
Yes. Mispher supports self-hosting on your own infrastructure.
When was Mispher released?
Mispher was first released in 2026.
What platforms does Mispher support?
Mispher is available on: macOS (Apple Silicon).

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Mispher

Mispher is a free, open-source macOS application that converts spoken input to text and exposes a local agent capable of planning and executing tool calls — all without a network connection. The core workflow: speak into any focused field to dictate, select text and issue a spoken instruction to rewrite it, or ask a question and let the agent gather context from your screen, open files, or notes. Every step runs on-device using Apple Silicon.

The differentiating feature is the absence of a cloud dependency by design, not by coincidence. Most dictation tools offload transcription to a remote model because local inference was historically too slow on consumer hardware; Apple Silicon changes that calculus. Mispher is built specifically for macOS 26 and Apple Silicon, which means it can run capable local models at acceptable latency without the privacy surface that a hosted API introduces. The MIT license backs this up — you can read exactly what the code does with your audio.

Mispher fits solo power users and developers who need private, always-available voice input and occasional agent actions scoped to local data. It breaks down in team environments, CI pipelines, or any workflow that requires the agent to reach a remote API, write to a shared system, or coordinate tasks across devices. There is no API surface, so embedding Mispher’s capabilities into a larger application means forking the codebase — at which point you are maintaining a custom distribution. Teams that need more than single-machine, local-only scope will find competitors with hosted or self-hosted server modes more practical.