Made with this app
How it works
Whisper Transcription converts spoken audio into accurate, readable text with synchronized timestamps and ready-to-use SRT caption files. Built on Whisper Transcription technology, this app is designed for content creators, journalists, researchers, educators, and anyone who needs reliable subtitles or searchable transcripts from recorded speech. It supports over 100 languages, making it practical for multilingual projects, international interviews, and global media production without requiring manual caption work.
How to use this app
- 1
Describe what you want to create, or upload your source file.
- 2
Pick your options, then press Generate.
- 3
Watch your result appear in the gallery within moments.
- 4
Download, share, or generate again with a new idea.
What you can make
Subtitling Video Content
Upload a recorded video voiceover or extracted audio track and receive a properly formatted SRT file ready to drop into editing software. Timestamps align precisely with speech, saving hours of manual subtitle entry for YouTube videos, course recordings, or social media clips.
Transcribing Interviews and Podcasts
Journalists and podcasters can convert long-form recordings into searchable text documents. Speaker detection helps distinguish between voices, making it easier to attribute quotes accurately and edit transcripts for articles, show notes, or episode summaries.
Multilingual Research Transcription
With support for over 100 languages, researchers working with international field recordings, oral histories, or multilingual focus groups can generate transcripts without sourcing specialized human transcribers for each language.
Accessibility Caption Creation
Organizations producing training videos, webinars, or public-facing media can use the SRT output to add legally compliant closed captions, improving accessibility for deaf and hard-of-hearing audiences without outsourcing caption work.
Meeting and Lecture Notes
Record a team meeting, university lecture, or client call and upload the audio to generate a time-stamped transcript. The text output makes it straightforward to extract action items, key decisions, or study notes from long recordings.
Prompt ideas to try
- Transcribe this 45-minute English podcast interview and output a full SRT file with speaker labels for each turn.
- Convert this Spanish-language conference keynote recording into a time-stamped text transcript, preserving all speaker pauses.
- Generate an SRT caption file from this customer support call recording, identifying each speaker separately.
- Transcribe this French academic lecture audio with timestamps every 30 seconds for easy navigation in the final document.
- Produce a clean text transcript of this bilingual English and Mandarin interview, keeping each language in its original form.
- Create a time-coded SRT file from this corporate training video narration so it can be imported directly into Premiere Pro.
Why creators use this app
- Timestamps
- SRT output
- 100+ languages
- Speaker detection
Tips for better results
Use Clean, Clear Audio
Whisper Transcription performs best when background noise is minimal. If your source recording has significant ambient sound or music, run it through a noise reduction tool first. Cleaner audio means fewer transcription errors and more accurate timestamp placement.
Specify the Language Upfront
Even though the model supports over 100 languages, telling it explicitly which language is spoken removes ambiguity on recordings with accents or mixed-language content. This is especially useful for less common languages where auto-detection may be less certain.
Leverage SRT Output for Editing
The SRT file is formatted for direct import into video editors and captioning platforms. Download it immediately alongside the text transcript so you have both a human-readable version and a production-ready caption file without running the audio twice.
Use Speaker Detection for Multi-Voice Audio
For interviews, panels, or meetings with multiple participants, rely on the speaker detection feature to pre-separate voices in your transcript. This reduces post-editing time significantly when you need to attribute individual statements or format a dialogue-style document.
When to choose this app
Whisper Transcription is the right choice when your primary deliverable is accurate text or timed captions from audio, particularly across multiple languages or with multiple speakers. Unlike general-purpose tools that treat transcription as a secondary feature, this app is purpose-built for caption and transcript workflows, offering SRT output and timestamps as first-class outputs rather than add-ons.
Frequently asked questions
What audio formats does Whisper Transcription accept?
The app is designed to handle common audio and video audio tracks. For best results, upload widely supported formats such as MP3, MP4, WAV, or M4A. If your source file is in a less common container, extracting the audio track first will ensure smooth processing.
How accurate are the timestamps in the SRT output?
Timestamps are generated at the sentence or phrase level, synchronized with the spoken audio. Accuracy depends on audio clarity and speaking pace. Clear, steady speech at a normal pace produces the tightest timestamp alignment, while very fast speech or heavy accents may introduce minor offsets.
Can I transcribe audio that contains more than one language?
The model supports over 100 languages individually. For recordings that switch between languages, results vary depending on how frequently the switch occurs and how clearly each language is spoken. Single-language audio consistently produces the most accurate output.
How does speaker detection work in practice?
Speaker detection identifies distinct voices in the audio and labels them in the transcript, typically as Speaker 1, Speaker 2, and so on. It works best when speakers have clearly different vocal characteristics and do not talk over each other. Overlapping speech may reduce detection accuracy.
Can I use the SRT file directly in video editing software?
Yes. The SRT format is a universal subtitle standard supported by tools including Premiere Pro, DaVinci Resolve, Final Cut Pro, and most online video platforms. Download the SRT file and import it as a subtitle track without any conversion or reformatting needed.
Is there a maximum audio length the app can handle?
The app is built for practical transcription tasks such as interviews, lectures, and meetings. Very long recordings, such as multi-hour events, may benefit from being split into shorter segments before upload to maintain processing reliability and make the resulting transcript easier to review and edit.
How much does it cost?
Each generation costs 1 credit. New accounts get free credits to try it out.
Which AI model powers this app?
This app runs on Whisper Transcription, available through Arteza with no separate account or setup.
Can I use the results commercially?
Yes. Content you generate is yours to use, subject to our content licenses.
How long does a generation take?
Most generations finish in under a minute, and you can watch progress live in the gallery.