Upload an MP3 and get a clean, readable transcript in minutes. No account, no signup, completely free.
MP3 is the most common format for recorded speech — interviews, podcasts, voice memos, lectures, phone calls. This free MP3 to text tool takes that recording and turns it into text you can read, search, edit and share. Convert MP3 to text free online — upload your file, wait a minute or two, download your transcript. That is the entire process. Need timed captions instead? You can also export your MP3 transcription as an SRT or VTT subtitle file from the same upload.
Journalists transcribe recorded interviews so they can quote accurately without replaying the audio. Researchers convert focus group recordings into text they can code and analyse. Podcasters turn episodes into show notes, blog posts and social media quotes. Students transcribe lectures so they can search and highlight instead of scrubbing through audio. Whatever your reason, the workflow is the same — upload once, get text back, use it however you need.
Download as TXT for plain text you can paste anywhere — documents, emails, notes apps, AI tools. Download as SRT if you need timestamps alongside the words (useful for syncing text to audio in an editor). Download as VTT for web-based media players. Download as RTF to open directly in Word, Pages or Google Docs with formatting already applied. Most people grab TXT first — it is the most flexible.
Upload MP3, WAV, M4A, OGG, FLAC, OPUS or WebM audio files up to 25MB. We support 15+ languages and detect the language automatically, so you do not need to select one before uploading. Files are processed securely and deleted immediately after you download your transcript.
AI speech recognition works best with clear audio. The biggest factors that improve accuracy are: a single speaker close to the microphone, minimal background noise, and a moderate speaking pace. Accented speech, multiple overlapping speakers, and poor recording quality reduce accuracy — but the model handles these better than older tools because it was trained on a wide variety of real-world audio.
If your MP3 has long silences, music beds, or overlapping voices, accuracy will vary by section. For interviews with two speakers, the transcript will be accurate but won't automatically separate speaker turns — you'd label them manually in the downloaded TXT or SRT file.
Documentary filmmakers often record interviews as MP3 files on a field recorder separate from the camera. Converting those audio files to text early in post-production gives you a written record of every interview — searchable, quotable and usable in a paper edit before you touch the timeline. Podcast producers use the same workflow: transcribe the episode, edit the transcript for clarity, and publish it alongside the audio for accessibility and search indexing. Show notes written from a transcript take a fraction of the time and read more naturally than notes written from memory.