Who is Whisper Transcription for?

Whisper Transcription is a consumer product built for content creators, journalists, and researchers.

What platforms does Whisper Transcription run on?

Whisper Transcription runs on the web and the command line.

Is Whisper Transcription still maintained?

Unverified. Whisper Transcription 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 Whisper Transcription?

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

Who makes Whisper Transcription?

Whisper Transcription is developed by Tomfun.

How long has Whisper Transcription been around?

Whisper Transcription first shipped in 2026.

Back to the index

Whisper Transcription

Name: Whisper Transcription
Author: Tomfun

tomfun.coSpeech to text

Whisper Transcription is a web-based application that converts audio and video files into text. It supports speaker diarization, URL-based transcription, and session management, making it useful for content creators, journalists, and researchers needing fast, accurate transcriptions.

MITWebCLICloud-managed

Visit tomfun.co

Overview

5 features

In the Speech to text space, Whisper Transcription takes a focused approach. It focuses on transcribing audio and video content into accurate text quickly and easily. Whisper Transcription is a consumer product aimed at content creators, journalists, and researchers. Whisper Transcription is available on the web and the command line.

Behind Whisper Transcription is Tomfun, and it first shipped in 2026. Key capabilities include audio transcription, video transcription, and speaker diarization.

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

Audio transcription
Video transcription
Speaker diarization
URL transcription
Session management

Built with & integrations

Runs on

BrowserCLICloud-managed

Trust & compliance

License

MIT

Verified signals

HTTPS

Indexing history

What PulseGate has recorded for this listing

Indexed27 Jun · 12:51 UTC
Listing verified against its public source
Source: PulseGate · Open

Frequently asked questions about Whisper Transcription

What does Whisper Transcription do?: Whisper Transcription focuses on transcribing audio and video content into accurate text quickly and easily. It is catalogued under Speech to text on PulseGate.
Who is Whisper Transcription for?: Whisper Transcription is a consumer product built for content creators, journalists, and researchers.
What platforms does Whisper Transcription run on?: Whisper Transcription runs on the web and the command line.
Is Whisper Transcription still maintained?: Unverified. Whisper Transcription 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 Whisper Transcription?: Similar projects tracked by PulseGate include WhisperTranscribe, Transcribe Audio to Text with Whisper, and Whisper Web.WhisperTranscribe Transcribe Audio to Text with Whisper Whisper Web
Who makes Whisper Transcription?: Whisper Transcription is developed by Tomfun.
How long has Whisper Transcription been around?: Whisper Transcription first shipped in 2026.

At a glance

Platforms: Cli · Web
Languages: English
License: MIT
Built for: Content creators, journalists, and researchers
Model: B2C
Solves: Transcribing audio and video content into accurate text quickly and easily.

Registered as

PyPI: tomfun-speech-to-text-client

Developer

Tomfun

Index record

Identity confidence: High · 94.4
Indexed: 27 Jun 2026
Lifecycle: Alive
Last seen: 27 Jun 2026

Identity audit (12)

Slug: tomfun-speech-to-text-client-tomfun-co
Lifecycle last checked: 8 Aug 2026
Verification state: Indexed for public listing
Listing state: Listed: yes
Index status: Included in index
Latest evidence snapshot: 27 Jun 2026
Timeline basis: Indexed-at chronology. This listing's first-seen date was written by the catalog backfill, not observed here, so it is not treated as a sighting.
Name from: Derived from the project's own page and URL.
Category from: Recorded source: taxonomy-pass-a.
Summary from: Written by a language model from public pages.
Languages from: Detected by a language model, checked against the page's own declaration.
Canonical URL: https://speech-to-text.tomfun.co/

Ship this? Send a correction — no account, and you get a link to follow it.

Similar projects

Closest matches by what these projects do