AI Speech to Text Transcription
Turn audio and video into a readable transcript with speaker labels and timestamps, in more than 90 languages.
5 credits per minute · “Sound tags” marks laughter, music and applause in the transcript.
AI Speech to Text Transcription
Remixy's speech to text transcribes audio and video into text you can read, search and reuse. It runs on ElevenLabs Scribe, detects the language automatically across more than 90 languages, labels who said what, and keeps word-level timing. The result is a clean transcript grouped by speaker, with timestamps, that you can copy, download as plain text or export as SRT subtitles.
It's for podcasters who want show notes and searchable episodes, journalists and researchers working through interviews, video creators adding subtitles, teams who record meetings, and musicians who want the words of a demo written down. Upload files up to 60 minutes long, or record directly in the browser.
How it works
- 1
Upload or record
Add an MP3, WAV, M4A, MP4, MOV or WebM file up to 60 minutes and 200 MB, or record from your microphone.
- 2
Choose your options
The language is detected automatically. Optionally turn on tags for sounds such as laughter or music.
- 3
Get the transcript
Typical files are ready in under a minute, grouped by speaker with timestamps.
- 4
Copy or export
Copy the text, download a TXT file, or export SRT subtitles for your video editor or platform.
What you get
90+ languages, detected automatically
Upload a recording in any supported language and transcription starts without you having to choose one.
Speaker labels
Each passage is attributed to a speaker, so interviews and meetings read like a conversation instead of a wall of text.
Word-level timing
Every word carries its own timestamp, which keeps subtitles in sync and makes it easy to find a moment in the recording.
Sound tags
Optionally mark non-speech sounds like laughter or music, useful for accessible captions and for understanding what was happening in a recording.
SRT subtitles and TXT
Export subtitles ready to upload with a video, or a plain text file for notes, articles and documents.
Long files
Transcribe up to 60 minutes and 200 MB in one go, enough for a full podcast episode or a long meeting.
Popular ways to use it
Interview and podcast transcripts
Turn conversations into text for show notes, pull quotes, articles and searchable archives.
Subtitles for videos
Export SRT files for YouTube, social platforms or your editor so viewers can follow along with the sound off.
Meeting notes
Get a speaker-labeled record of a call to pull decisions and action items from.
Lyrics drafts
Transcribe a voice memo or a demo to get the words down before you polish them.
Research
Transcribe field recordings, focus groups and lectures so you can search, quote and analyze them.
Accessibility
Provide text versions and captions so people who are deaf or hard of hearing can follow your audio and video.
What affects transcription accuracy
Accuracy depends mostly on the recording. Clear speech captured close to the microphone, without music or noise on top, gives the best results. Strong background noise, people talking over each other, very quiet speakers and heavily compressed files all make transcription harder, for software and for people alike.
Specialized vocabulary is the other common source of mistakes. Uncommon names, brand names, acronyms and technical terms may be spelled the way they sound. For anything you publish, read the transcript through once and fix names and terms; with word-level timestamps, it's easy to jump to the exact moment and listen again.
If a recording is noisy, try cleaning it with the voice isolator before transcribing. Removing music and background sound gives the transcription a clearer voice to work with.
Making subtitles with SRT export
SRT is the standard subtitle format accepted by YouTube, most social platforms and video editors. Because the transcript has word-level timing, the subtitles follow the speech instead of being spread evenly across the video. Download the SRT, upload it with your video or import it into your editor, and style it there.
Subtitles do more than many creators expect. Plenty of people watch video with the sound off, and captions make your content accessible to viewers who are deaf or hard of hearing. Turning on sound tags adds helpful context like music or laughter, which is standard in accessible captions.
Pricing and what you get
Speech to text costs 5 credits per minute of audio or video. A 10-minute interview costs 50 credits and a full 60-minute recording costs 300. The 150 free credits new accounts receive after verifying their email cover around 30 minutes of transcription.
Premium and Pro add credits every month, which keeps regular transcription of podcasts, meetings or video subtitles affordable. Transcripts are private by default, and you can copy them or download TXT and SRT files whenever you need them.
Questions
How accurate is the transcription?
Accuracy depends on audio quality. Clear recordings with one person speaking at a time give the best results, while heavy noise, overlapping speech and unusual names can introduce errors worth checking.
What languages are supported?
More than 90 languages, with the language detected automatically from your file.
Can it tell different speakers apart?
Yes. The transcript labels speakers and groups the text by who said what, with timestamps.
Can I make subtitles from a video?
Yes. Upload the video and download the transcript as an SRT subtitle file, timed to the speech.
What's the maximum file length?
Up to 60 minutes and 200 MB per file, in MP3, WAV, M4A, MP4, MOV or WebM.
How much does transcription cost?
5 credits per minute. A one-hour file costs 300 credits.
How long does it take to transcribe a file?
Typical files are ready in under a minute. Very long recordings can take a little longer.
Can I transcribe song lyrics?
You can transcribe a vocal recording to get a lyrics draft. Results are best on clear vocals, so with a full mix it can help to isolate the voice first.