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Transcribe Audio to Text with Whisper

1transcribe.com·Speech to text·🇺🇸

1Transcribe is a transcription tool for turning audio into text with OpenAI Whisper. It is presented as suitable for people handling long interviews, lectures, meetings, and court proceedings, and it offers a free way to try the service with no signup or credit card required.

The service says it supports 99.9% accuracy and more than 99 languages, with automatic language detection. It accepts audio, video, PDF, and image uploads, and it also allows direct recording through the app. Other listed features include speaker identification, which labels different speakers in a transcript, and export to DOCX, PDF, SRT, or TXT. The page also says it can handle accents, background noise, and technical jargon, and that files can be up to 10 hours long and 5 GB in size.

1Transcribe is available on iOS, Android, web, Mac, and Windows. The page describes use across devices, including transcribing on a phone, editing on a laptop, and dictating on a Mac or PC. It says the latest Whisper models run on the company’s servers, so transcription works in a browser or app without API keys, setup, or GPU requirements. The service also mentions batch upload for up to five files at once, AI summaries and quizzes, secure cloud storage, and files being automatically deleted after 14 days.

Pricing is listed as free for short files under five minutes, with longer files requiring a subscription. The monthly plan is US$19.99, and the yearly plan is US$49.99, with unlimited transcription minutes and the same feature set described on the pricing page. The page says plans auto-renew and can be canceled anytime. It also states that files are not used for AI training.

FreemiumWebCLIiOSAndroidmacOSWindows
TTranscribe Audio to Text with Whisper preview
Visit 1transcribe.com↗

Overview

5 features

Transcribe Audio to Text with Whisper is a Speech to text project. Professionals and individuals need accurate, fast, and easy transcription of audio files to text in multiple languages. Transcribe Audio to Text with Whisper is a consumer product aimed at content creators and professionals. Transcribe Audio to Text with Whisper follows a freemium model. Transcribe Audio to Text with Whisper is available on the web, the command line, iOS, Android, and macOS.

It is developed by Kpera Sadeck Yarou N'gobi (United States), and it first shipped in 2024. Among its 5 catalogued features are audio transcription, multi-language support, and batch processing. The interface is available in 36 languages, including Arabic, Bulgarian, and Bangla.

  • ✓Audio transcription
  • ✓Multi-language support
  • ✓Batch processing
  • ✓Speaker diarization
  • ✓File export
Tags
audio-transcriptionwhisper-apimulti-languagespeech-to-textfile-conversion
AI capabilities
AudioText
Inference: Cloud APIWeights: Proprietary

Built with & integrations

Framework
Astro
Hosting
Cloudflare
AI providers
openai
Runs on
BrowserCLIiOSAndroidmacOSWindows
Detected from
Astro
astro-island in the HTML · /_astro/ in the HTML
openai
bpowered in the HTML · dall- in the HTML
Cloudflare
cf-ray header · cf-cache-status header

Trust & compliance

Verified signals
✓HTTPS✓Terms of Service✓Free tier✓Multi-language✓Store-verified publisher
Legal
Terms of Service →

Indexing history

1

What PulseGate has recorded for this listing

  1. Indexed16 Jun · 06:30 UTC
    Listing verified against its public source
    Source: PulseGate · Open ↗

Frequently asked questions about Transcribe Audio to Text with Whisper

What does Transcribe Audio to Text with Whisper do?
Professionals and individuals need accurate, fast, and easy transcription of audio files to text in multiple languages. It is catalogued under Speech to text on PulseGate.
Who should use Transcribe Audio to Text with Whisper?
Transcribe Audio to Text with Whisper is a consumer product built for content creators and professionals.
Does Transcribe Audio to Text with Whisper have a free plan?
Yes — there is a free tier, with paid plans for advanced use.
What platforms does Transcribe Audio to Text with Whisper run on?
Transcribe Audio to Text with Whisper runs on the web, the command line, iOS, Android, and macOS.
Is Transcribe Audio to Text with Whisper still maintained?
Unverified. Transcribe Audio to Text with Whisper 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 Transcribe Audio to Text with Whisper?
Similar projects tracked by PulseGate include WhisperTranscribe, Whisper Web, and Whisper Transcription.WhisperTranscribeWhisper WebWhisper Transcription
Who makes Transcribe Audio to Text with Whisper?
Transcribe Audio to Text with Whisper is developed by Kpera Sadeck Yarou N'gobi, based in the United States.
How long has Transcribe Audio to Text with Whisper been around?
Transcribe Audio to Text with Whisper first shipped in 2024.

At a glance

Pricing
Freemium · pricing page detected · free tier
Platforms
Mobile · Desktop · Cli · Web
Built for
content creators and professionals
Model
B2C
Solves
Professionals and individuals need accurate, fast, and easy transcription of audio files to text in multiple languages.

Registered as

App Store
6705123880
Google Play
com.dktlabs.anytranscribe
Google Play
com.transcribe.audio.to.text

Developer

🇺🇸Kpera Sadeck Yarou N'gobi

Index record

Identity confidence
High · 95.6
Indexed
16 Jun 2026
Lifecycle
Alive
Last seen
16 Jun 2026
Identity audit (12)
Slug
1transcribe-audio-to-text-1transcribe-com
Lifecycle last checked
8 Aug 2026
Verification state
Indexed for public listing
Listing state
Listed: yes
Index status
Included in index
Latest evidence snapshot
16 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
Taken from the project's own store listing.
Languages from
Detected by a language model, checked against the page's own declaration.
Canonical URL
https://1transcribe.com/

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