ToText.app
Convert MP3 and MP4 to accurate, editable transcripts online. Add timestamps, speaker labels, subtitles, and exports with ToText—no software required.
Convert MP3 and MP4 to accurate, editable transcripts online. Add timestamps, speaker labels, subtitles, and exports with ToText—no software required.
This page is designed to help you find out whether ToText.app is good and if it is the right choice for you.
MP3 to Transcript by ToText is a private online transcription tool that converts audio and video recordings into accurate, editable text. Users can upload MP3, MP4, M4A, MOV, WAV, WebM, MKV, and other common media formats directly from their browser.
The platform provides automatic language detection, timestamps, speaker recognition, noise reduction, searchable transcript editing, and synchronized media playback. After reviewing the transcript, users can generate summaries, meeting notes, automatic chapters, action items, translations, and answers based on the recording.
Completed transcripts can be exported as TXT, DOCX, PDF, SRT, VTT, CSV, or JSON files. ToText is suitable for meetings, interviews, podcasts, lectures, research recordings, webinars, customer calls, subtitles, and other speech-to-text workflows. New users receive three free transcriptions without needing a credit card.
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Audio & Video Transcription
Convert MP3, MP4, M4A, WAV, MOV, WebM, and other media files into editable text.
Speaker Labels & Timestamps
Automatically identify speakers and connect transcript segments to precise playback timestamps.
AI content tools
Generate summaries, meeting notes, chapters, action items, translations, and searchable insights.
MP3 to Transcript combines audio and video transcription with an integrated editing workspace. Users can review timestamped text alongside the original recording, identify speakers, search the transcript, generate summaries and action items, translate content, and export it in multiple document and subtitle formats.
MP3 to Transcript uses AI-powered speech recognition, automatic language detection, speaker identification, timestamp alignment, media processing, and natural language processing for summaries, meeting notes, chapters, translations, action items, and transcript-based questions. The exact models and software stack have not been publicly disclosed.
Users can manage the complete transcription workflow in one place, from uploading a recording to reviewing, editing, summarizing, translating, and exporting the final transcript. It supports common audio and video formats and provides practical tools such as timestamps, speaker labels, synchronized playback, chapters, meeting notes, and subtitle exports.
MP3 to Transcript is designed for content creators, podcasters, journalists, researchers, students, educators, marketers, consultants, and business teams that need to convert meetings, interviews, lectures, podcasts, webinars, and other recordings into searchable and reusable text.
MP3 to Transcript was created to make information stored inside recordings easier to access and reuse. Instead of switching between separate transcription, editing, summarization, translation, and subtitle tools, users can complete the entire recording-to-document workflow in one browser-based workspace.
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