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Search the transcript for a phrase, then use its timestamp to return to the relevant part of a long recording.
Upload an MP3 interview, podcast, meeting or voice recording. Media2Text turns the spoken audio into an editable transcript and keeps time references for review and export.
Upload an MP3 →Search the transcript for a phrase, then use its timestamp to return to the relevant part of a long recording.
Edit spoken language into show notes, research excerpts, a meeting record or a first draft without typing from scratch.
Export SRT or VTT when the audio will be paired with visuals, or TXT when timing syntax is unnecessary.
MP3 is convenient because it is widely supported and typically smaller than uncompressed WAV audio. Compression does discard some sound information, but a clear MP3 can still be a practical source for speech recognition. Increasing the file's bitrate after recording does not restore lost detail, so use the best original available.
For difficult recordings, reduce avoidable noise before export, avoid repeatedly recompressing the file and preserve a single consistent audio track. Always review proper nouns, dates, monetary amounts and words spoken over music or another voice.
No. Media2Text accepts MP3 directly. Converting an already compressed MP3 to WAV makes a larger file but does not recreate missing audio detail.
Yes. Podcast speech can be transcribed, searched and exported, provided you have the right to process the recording.
Yes. Use TXT for a readable transcript, or SRT/VTT when you need timed subtitle cues.
Podcast MP3s are usually mastered for listening, with music beds, intros and ads. Speech over music can reduce accuracy, so review intros and transitions carefully. Rename hosts and guests once, then export Markdown or DOCX for show notes, or SRT if you publish the episode as a video.
Call recorders and older voice recorders often save low-bitrate mono MP3 files. These still work, but narrowband phone audio carries less detail, so expect more corrections on names and numbers. If the recorder offers a higher-quality setting for future recordings, use it.
Long single-speaker recordings are a good fit for MP3 transcription. Use transcript search to jump between topics, and consider an AI summary in the Course style to create a study outline that links back to the source text.
You do not need to convert MP3 to WAV before uploading. Converting a compressed file to an uncompressed format does not restore detail that was removed during compression; it only makes the file larger. If you have access to the original WAV or a higher-bitrate MP3, upload that instead. As a rough guide, files encoded at 128 kbps or higher are usually comfortable for speech; very low bitrates and heavy noise reduction can blur consonants.
An MP3 transcript can be exported as TXT, Markdown, DOCX, PDF, CSV, TSV, JSON, SRT or VTT. Choose SRT or VTT when the audio will be paired with video later; the audio to SRT guide covers cue timing. Choose CSV or JSON if you want to analyse segments, speakers and timestamps in a spreadsheet or script.
For a broader walkthrough of preparing, reviewing and exporting any recording, read how to convert audio and video to text.
MP3 is only one of the supported audio formats. Media2Text also accepts AAC, AMR, AWB, FLAC, M4A, MKA, MP2, OGA, OGG, OPUS, WAV, WEBA, WEBM and WMA. The general audio to text page explains interview, meeting and voice-note workflows, and the speech to text page focuses on multi-speaker conversations. Dedicated pages cover WAV to text and M4A to text.
Each MP3 can be up to 6 GB. The free trial includes up to 2 lifetime transcription tasks sharing 75 minutes in total, needs no credit card and never resets. Paid plans provide unlimited uploads, monthly or one-time transcription minutes and files up to 5 hours 15 minutes long.
Start with find and replace for names that repeat throughout the episode, such as hosts, guests and sponsors. Then play the transcript at a slightly higher speed and read along, pausing only where the text and audio disagree. This is usually faster than listening first and typing corrections later. When the transcript is ready, decide whether timestamps belong in the export: they help researchers and editors, but readers of show notes usually prefer clean paragraphs.