This page is designed to help you find out whether VideoToText.dev is good and if it is the right choice for you.
Video To Text is an AI audio and video transcription tool that turns meetings, interviews, lectures, course videos, podcasts, and short videos into clear, editable, searchable transcripts. It supports uploads up to 5 GB, automatic detection for 100+ languages, timestamped segments, speaker labels, editing, TXT, SRT, VTT, and JSON exports, plus an API for integrating transcription into products and content workflows.
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Multi-format Upload
Supports MP4, MOV, MKV, WEBM, AVI, MP3, WAV, M4A, AAC, and FLAC, with files up to 5 GB each.
100+ Language Support
Auto-detect the spoken language, or choose one upfront for more consistent results.
Transcription API
Submit media files, check transcription status, and retrieve structured transcript results through the API.
Editing
Search keywords, correct text, and adjust transcript segments before exporting.
Subtitle and Text Export
Export TXT, SRT, VTT, and JSON for subtitles, notes, content reuse, and automation workflows.
Timestamped Segments
Every segment maps to a specific point in the audio or video, making it easier to replay, review, and prepare subtitles.
Speaker Labels
Organize meetings, interviews, podcasts, and other multi-speaker content into a clear conversation structure.
VideoToText.dev combines AI transcription, subtitle export, speaker labels, timestamped segments, transcript editing, 100+ language support, large 5 GB uploads, and an API in one simple workflow.
A person should choose VideoToText.dev because it supports large audio and video files, many common formats, automatic language detection, editable transcripts, speaker labels, subtitle exports, and API access for product or workflow integration.
The primary audience includes creators, educators, podcasters, interviewers, teams, researchers, students, and developers who need to turn audio or video into searchable transcripts, subtitles, or structured text.
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Check the traffic stats of VideoToText.dev on SimilarWeb. The key metrics to look for are: monthly visits, average visit duration, pages per visit, and traffic by country. Moreoever, check the traffic sources. For example "Direct" traffic is a good sign.
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