Speech to Text Online
Upload MP3, WAV, M4A, OGG, or AAC audio and turn spoken content into a synced transcript you can review, copy, and export.
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View HistorySpeech to Text Online: Transcribe Audio into Usable Text
Turn a recording into readable, copyable, and exportable text with Echora's online speech-to-text tool. Upload an MP3, WAV, M4A, OGG, or AAC file up to 50MB and 30 minutes long, review the transcript with the original audio, and export TXT, JSON, SRT, or VTT. This workflow processes uploaded audio; it is not live microphone dictation, direct video transcription, or audio translation.
See It in Action
A real result generated with Echora.
Input
Output
What Is Speech to Text?
Speech to text converts spoken audio into written text and is also commonly described as audio-to-text conversion or audio transcription. Instead of transcribing an entire recording manually, an audio-to-text converter creates an initial transcript that you can review and edit.
- Upload a supported recording directly from your device
- Convert spoken content into a readable audio transcript
- Review the text while listening to the original recording
- Check names, numbers, punctuation, and specialist vocabulary
- Copy the complete transcript for editing or notes
- Export structured text or subtitle files for later use
Turn Recorded Audio into a Practical Transcript
Convert recorded speech from MP3, WAV, M4A, OGG, and AAC files into readable text. Each upload can be up to 50MB and 30 minutes long, making the audio-to-text converter suitable for voice recordings, interviews, podcast segments, lessons, and other spoken audio.
Review the transcript while listening to the original audio. When timed word data is available, the preview follows playback and lets you select a word or segment to move to the corresponding point in the recording. When speaker information is detected, different speakers are displayed in separate turns.
Copy the full transcript or export it in a format that fits your workflow. Use TXT for plain text, JSON for structured transcript data, and SRT or VTT for subtitle workflows. Subtitle exports can include speaker labels, punctuation, supported audio tags, configurable cue grouping, and optional word-level timestamps for VTT.
There is no transcription software to install. Upload your audio and manage the result directly in your browser. New users can sign up and use complimentary credits to try the speech-to-text tool. Credit usage is based on the length of the uploaded audio and is calculated by minute.
How to Transcribe Audio to Text Online
Upload a Clear Audio File
Select an MP3, OGG, WAV, M4A, or AAC recording. The file must be no larger than 50MB and no longer than 30 minutes.
- •Use audio with clear, audible speech
- •Keep voices louder than background music and environmental noise
- •Avoid strong echo, clipping, and heavy compression
- •Reduce overlapping speech when possible
- •Trim long sections that contain no useful speech
- •Check that the correct recording has finished uploading before submitting
Start the Audio Transcription
Submit the uploaded recording to begin transcription. You do not need to enter a script or manually type what is being said. The tool processes the spoken content and creates a transcript automatically. Processing time and transcription quality depend on factors such as audio length, recording clarity, background noise, accents, speaking speed, and the amount of overlapping speech.
Review the Audio Transcript
Open the completed result and compare the transcript with the original audio. Pay particular attention to names, numbers, brand names, and specialist vocabulary. When timing or speaker information is available, use the transcript segments to locate and review the corresponding parts of the recording.
Copy or Export the Transcript
Copy the complete transcript or export TXT for notes and editing, JSON for structured data, SRT for video editors and media players, or VTT for websites and compatible web players. If the text or subtitle timing needs corrections, make the final edits in your preferred editor.
Convert MP3 to Text
MP3 is one of the most common formats for recordings, podcasts, and online audio. Upload an MP3 file and convert its spoken content into text without first changing it to another audio format. Copy the result directly or export a TXT file for editing, searching, and organizing.
- Podcasts and recorded interviews
- Meetings and presentations
- Lectures and learning materials
- Voice notes and recorded ideas
- Content creation and show notes
- Customer interviews and research recordings
Turn Audio into SRT or VTT Subtitles
After the audio transcription is complete, export a timed subtitle file for a video, podcast clip, or web player. Review names, line length, and segment placement before publishing the final subtitles.
SRT is widely supported by video editors, media players, and caption workflows. When the relevant transcript data is available, the export can retain punctuation, speaker labels, and timing information.
VTT is designed for web video and compatible players. It can preserve timed transcript content and optionally include word-level timing when that information is available.
Who Uses Audio-to-Text Transcription
Echora helps creators, teams, educators, and researchers turn authorized audio recordings into text and subtitle files for practical follow-up work.
Podcasts and Interviews
Create a podcast transcript from recorded episodes, interviews, and guest conversations. When speaker information is available, the transcript can display separate speaker turns to make conversations easier to follow.
Meetings, Lectures, and Voice Notes
Turn recorded meetings, lessons, presentations, and voice notes into text that is easier to review and search. The current tool works with uploaded recordings rather than live meetings or microphone dictation.
Subtitles and Content Production
Convert audio to SRT or VTT for editing and publishing workflows. Use the transcript as a starting point for captions, show notes, articles, and short-form content. If your source is a video, extract its audio first because the current page accepts audio files only.
Research and Documentation
Transcribe research interviews, user feedback, support recordings, and other authorized audio. Export plain text for reading or keep structured JSON and timestamped subtitle files for later processing.
How to Improve Audio Transcription Results
The quality of an audio transcript depends heavily on the source recording. Even with clean audio, review an automatically generated transcript before publishing or using it as a final record.
- Keep speech clear and at a stable volume
- Reduce background music and environmental noise
- Avoid several people speaking at the same time
- Minimize room echo, clipping, and heavy compression
- Trim long sections that contain no useful speech
- Check names, numbers, and technical terms before exporting