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transcribeai

PyPIInfrastructure

PulseGate's liveness check found it on 3 Oct 2026; it is registered on PyPI and has been in the index since 22 Aug 2026. How this is checked

transcribeai is a MIT-licensed command-line package for converting audio into text with Whisper. It runs locally and offline, making it suitable for developers and users who need private transcription without cloud APIs or usage costs.

Inferred · not functionally tested

Open SourceMITCLISelf-hosted
Visit PyPI

Overview

5 features

Purpose: Transcribing audio locally without sending recordings to cloud services or paying API fees.

Inferred · not functionally tested

Audience: developers and privacy-conscious users who need offline audio transcription

Inferred · not functionally tested

Functions: speech_to_text

Inferred · not functionally tested

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

Recorded constraints: pricing: open_source · license: MIT · platforms: CLI · deployment: cli, self_hosted

Constraint provenance is unknown; confirm requirements with the publisher.

Record sources: pypi.org. These links do not verify the individual claims.

transcribeai sits in PulseGate's Speech to text category. Inferred · not functionally tested: It focuses on transcribing audio locally without sending recordings to cloud services or paying API fees. Inferred · not functionally tested: It is built as an open-source project for developers and privacy-conscious users who need offline audio transcription. Basis unknown · not verified: The project is open source (MIT). Basis unknown · not verified: It runs on the command line, and it can be self-hosted.

transcribeai first shipped in 2026. Inferred · not functionally tested: Among its 5 catalogued features are audio transcription, whisper inference, and offline processing.

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

Tasks: Inferred · not functionally tested

  • Audio transcription
  • Whisper inference
  • Offline processing
  • CLI workflow
  • Local-first operation

Topics: Inferred · not functionally tested

Tags
offline-transcriptionwhisper-clilocal-speech-recognitionprivacy-first-audio
AI capabilities
AudioText
Inference: Local

JSON profile · Text profile · Access guide

Built with & integrations

Runs on
CLISelf-hosted

Trust & compliance

License
MIT
Public signals
HTTPSOpen SourceFree tier

Indexing history

1

What PulseGate has recorded for this listing

  1. Indexed22 Aug · 16:34 UTC
    transcribeai seen via PyPI Bulk Enumerator
    Source: PyPI Bulk Enumerator · Open

Frequently asked questions about transcribeai

What is transcribeai?
Inferred · not functionally tested: Transcribeai focuses on transcribing audio locally without sending recordings to cloud services or paying API fees. It is catalogued under Speech to text on PulseGate.
Who should use transcribeai?
Inferred · not functionally tested: transcribeai is an open-source project built for developers and privacy-conscious users who need offline audio transcription.
Does transcribeai have a free plan?
Basis unknown · not verified: Yes — transcribeai is open source under the MIT license and free to use.
What platforms does transcribeai run on?
Basis unknown · not verified: transcribeai runs on the command line. It can also be self-hosted.
Is transcribeai still active?
PulseGate's liveness check found it on 3 Oct 2026.
What projects are similar to transcribeai?
Similar projects tracked by PulseGate include WhisperTranscribe, Whisper Transcribe, and Transcribbly.WhisperTranscribeWhisper TranscribeTranscribbly
When did transcribeai launch?
transcribeai first shipped in 2026.
Is transcribeai open source?
Basis unknown · not verified: Yes — transcribeai is open source under the MIT license.

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