Whisper Transcribe

Purpose: Transcribing audio without sending it to a hosted service when local processing is preferred.

Inferred · not functionally tested

Audience: developers building MCP-enabled AI workflows

Inferred · not functionally tested

Functions: speech_to_text

Inferred · not functionally tested

Interfaces: API: indicated (inferred, not tested) · MCP: indicated (inferred, not tested) · CLI: indicated (inferred, not tested) · Self-hosting: indicated (inferred, not tested)

Recorded constraints: pricing: open_source · license: Open Source · platforms: DESKTOP, CLI, WEB · deployment: browser, cli, self_hosted

Constraint provenance is unknown; confirm requirements with the publisher.

Record sources: github.com. These links do not verify the individual claims.

In the Speech to text space, Whisper Transcribe takes a focused approach. Inferred · not functionally tested: It focuses on transcribing audio without sending it to a hosted service when local processing is preferred. Inferred · not functionally tested: It is built as an open-source project for developers building MCP-enabled AI workflows. Basis unknown · not verified: Whisper Transcribe is open source under the Open Source license. Basis unknown · not verified: It runs on the web and the command line, and it can be self-hosted.

It is developed by ZahiriNatZuke. Inferred · not functionally tested: Key capabilities include audio transcription, local inference, and OpenAI API mode. Inferred · not functionally tested: Catalogued interfaces include an MCP server and a public API.

Summary written by a language model from the project’s public pages.