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Your order of three items ships Tuesday, March 4th and arrives within five to seven business days. Total charged $42.80. Reference number A-729B. Questions? Reply to this message anytime.
The studio is quiet now. Outside, the last train of the evening pulls away from the platform, and for a moment the whole building seems to listen. She sets down the script, closes her eyes, and begins again from the top, slower this time, letting each line finish before the next one starts.
今年的春茶刚到你先闻闻香再慢慢喝难怪外面下这么大的雨这里还坐得满满的
You came. I thought the rain would keep you at home. The rain is why I came. Nobody cues in this.
El estudio está tranquilo ahora. Afuera, el último tren de la noche se aleja del andén, y por un momento, todo el edificio parece escuchar. Ella deja el guión, cierra los ojos y comienza de nuevo desde el principio, más despacio esta vez, dejando que cada línea termine antes de que comience la siguiente.
Turn left and 200 meters, then continue straight for one and a half kilometers. Traffic ahead is lighter than usual, so you are running about four minutes early.
الاستوديو هادئ الآن. في الخارج يغادر آخر قطار في المساء من الرصيف. وللحظة يبدو أن المبنى بأكمله يستمع. تضع النص، تغلق عينيها، وتبدأ من جديد من البداية ببطء هذه المرة. تترك كل سطر ينتهي قبل أن يبدأ السطر التالي.
귀하의 3가지 품목 주문은 3월 4일 화요일에 발송되며 영업일 기준 5일에서 7일 이내에 도착합니다. 총 청구 금액 42달러 80센트. 참조번호 A729B. 질문이 있으신가요? 언제든지 이 메시지에 회신하세요.
Whisper Transcription converts spoken audio into accurate, readable text with synchronized timestamps and a ready-to-use SRT caption file. Built on the Whisper speech recognition model, this app is designed for content creators, journalists, researchers, educators, and anyone who needs reliable subtitles or searchable transcripts from recorded speech. It recognizes 99 languages and detects the spoken language on its own, which makes 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 the audio track from a recorded video 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. Every line of the SRT carries its own start and end time, so a quote you find in the transcript can be located in the original recording in seconds when you are writing an article, show notes, or an episode summary.
Multilingual Research Transcription
With recognition across 99 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.
Why creators use this app
- Timestamps
- SRT output
- 99 languages
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.
Upload the Audio Track, Not the Video
This app takes an audio file, so export or extract the audio from your video before uploading. A plain MP3 or WAV of the same recording transcribes exactly as well as the full video would and uploads far faster.
Keep One Language Per File
The spoken language is detected automatically, so there is nothing to configure. Advanced holds a Language picker if you would rather pin one, which is worth doing when the audio is noisy and you already know what was spoken. Detection is at its most reliable when a recording stays in a single language. If you have material that switches languages partway through, splitting it at the switch gives noticeably cleaner results than one mixed file.
Leverage SRT Output for Editing
The SRT file is formatted for direct import into video editors and captioning platforms. It is saved alongside the plain text transcript, so a single run leaves you with both a human-readable version and a production-ready caption file without processing the audio twice.
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. 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 upload field takes audio files: MP3, WAV, OGG and WebM are all accepted. Video files are not, so if your source is a video, export or extract its audio track first and upload that.
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.
Do I have to tell it which language is being spoken?
No. Detection is the default, and it covers all 99 languages Whisper recognizes. Advanced does hold a Language picker for the cases where you would rather pin one, but leaving it on automatic is the right choice for almost every file, and it is the only way to reach the languages the picker does not list. Recordings that stay in one language are detected most reliably; audio that switches back and forth gives more variable results.
Does the transcript say who is speaking?
No. The output is one continuous transcript plus a segment-timed SRT file, without speaker labels. For an interview or a panel, the timestamps make it quick to step through the recording and attribute lines yourself while you edit, but the app does not separate or name individual voices.
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.