Who should use transcribeai?

transcribeai is an open-source project built for developers and privacy-conscious users who need offline audio transcription.

Does transcribeai have a free plan?

Yes — transcribeai is open source under the MIT license and free to use.

What platforms does transcribeai run on?

transcribeai runs on the command line. It can also be self-hosted.

Is transcribeai still maintained?

Unverified. transcribeai has not been re-checked since it entered the index, so there is no finding either way — and only a positive finding would say otherwise.

What projects are similar to transcribeai?

Similar projects tracked by PulseGate include WhisperTranscribe, Transcribbly, and Transcribe Audio to Text with Whisper.

Is transcribeai open source?

Yes — transcribeai is open source under the MIT license.

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transcribeai

PyPIInfrastructure

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.

Open SourceMITCLISelf-hosted

Visit PyPI

Overview

5 features

transcribeai sits in PulseGate's Speech to text category. It focuses on transcribing audio locally without sending recordings to cloud services or paying API fees. It is built as an open-source project for developers and privacy-conscious users who need offline audio transcription. The project is open source (MIT). It runs on the command line, and it can be self-hosted.

transcribeai first shipped in 2026. 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.

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

Built with & integrations

Runs on

CLISelf-hosted

Trust & compliance

License

MIT

Verified signals

HTTPSOpen SourceFree tier

Indexing history

What PulseGate has recorded for this listing

Indexed22 Aug · 16:34 UTC
transcribeai verified against its public source
Source: PulseGate · Open

Frequently asked questions about transcribeai

What is transcribeai?: 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?: transcribeai is an open-source project built for developers and privacy-conscious users who need offline audio transcription.
Does transcribeai have a free plan?: Yes — transcribeai is open source under the MIT license and free to use.
What platforms does transcribeai run on?: transcribeai runs on the command line. It can also be self-hosted.
Is transcribeai still maintained?: Unverified. transcribeai has not been re-checked since it entered the index, so there is no finding either way — and only a positive finding would say otherwise.
What projects are similar to transcribeai?: Similar projects tracked by PulseGate include WhisperTranscribe, Transcribbly, and Transcribe Audio to Text with Whisper.WhisperTranscribe Transcribbly Transcribe Audio to Text with Whisper
When did transcribeai launch?: transcribeai first shipped in 2026.
Is transcribeai open source?: Yes — transcribeai is open source under the MIT license.

At a glance

Platforms: Cli
Languages: English
License: MIT
First seen: 22 Aug 2026
Built for: developers and privacy-conscious users who need offline audio transcription
Model: Open source
Solves: Transcribing audio locally without sending recordings to cloud services or paying API fees.

Registered as

PyPI: transcribeai

Developer

Transcribeaicontributors

Index record

Identity confidence: Low · 64
Indexed: 22 Aug 2026
Lifecycle: Alive
First seen: Aug 2026
Last seen: 22 Aug 2026

Identity audit (13)

Slug: transcribeai-pypi-org
Lifecycle state recorded: 22 Aug 2026
Verification state: Indexed for public listing
Listing state: Listed: yes
Index status: Included in index
Latest evidence snapshot: 22 Aug 2026
Timeline basis: Indexed-at chronology (no inferred launch/funding milestones).
Name from: Written by a language model from the project's public pages.
Category from: Assigned by a language model.
Summary from: Written by a language model from public pages.
Languages from: Detected by a language model from page content.
Last updated: 22 Aug 2026
Canonical URL: https://pypi.org/project/transcribeai

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