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New users get 30 free credits after sign-up, enough to run the full upload to export workflow before buying credits.
Learn moreAI transcription for video and audio, from files or public links
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Video to Text.net is an AI transcriber tool. A browser based AI transcriber that converts uploaded video and audio files, or public links from YouTube, TikTok, Instagram, Facebook and X, into timestamped text with speaker labels across 99 languages, exportable as TXT, SRT, VTT or CSV.
Video to Text is a browser based transcription service that turns video and audio recordings into written text. It accepts direct uploads in common formats such as MP4, MOV, MKV, WEBM, M4V, MP3, WAV, M4A, FLAC, OGG, AAC and OPUS, and it also ingests public links from YouTube, TikTok, Instagram, Facebook and X. Output can be downloaded as TXT, SRT, VTT or CSV, which covers plain text notes, subtitle delivery and spreadsheet analysis without a second conversion step. The feature set is built around spoken content that needs to be reused. Automatic language detection and recognition across 99 languages handle recordings where participants switch languages mid-conversation. Speaker identification labels who said what, which matters for interviews, panel discussions and team calls. Timestamps let editors jump to a specific moment in the source media, so subtitle work and quote checking do not require scrubbing through the full file. In practice the workflow is short: upload a file or paste a public video link, let the AI process it, then export the result. Files can reach 5 GB and run up to 10 hours, and the site states that a one-hour audio file can often finish in well under a minute, though final speed depends on file size, upload time and network conditions. Credits are only charged once transcription completes, so a failed upload does not cost the balance. Uploaded files are stored temporarily, meaning the transcript should be exported if it needs to be kept. Typical users are creators producing subtitles and repurposed copy, journalists and researchers working through interview recordings, teams documenting meetings and webinars, students turning lectures into study material, and language learners reading along with audio. Compared with full editing suites that bundle transcription, this is a narrow single purpose tool: it competes on language coverage, speaker labels, subtitle ready exports and pay as you go credits rather than on editing features or deep integration with production software.
New users get 30 free credits after sign-up, enough to run the full upload to export workflow before buying credits.
Learn morePay as you go credits with no subscription. Starter is $9.9 for 200 credits, the recommended tier is $19.9 for 600 credits, and the best value tier is $99 for 6000 credits, each with a stated rate per credit. File transcription costs 1 credit per minute of content; social media videos cost 5 credits per video with no length limit.
Learn moreSupport is documentation based: a docs section with guides covering social media transcription, supported languages and transcription speed. No live chat or email support channel is described on the homepage.
Learn moreNo third party integrations are listed. Input is limited to file uploads and public video links from YouTube, TikTok, Instagram, Facebook and X; output leaves as TXT, SRT, VTT or CSV files.
Learn moreTranscription of uploaded video and audio across MP4, MOV, MKV, WEBM, M4V, MP3, WAV, M4A, FLAC, OGG, AAC and OPUS, plus public links from YouTube, TikTok, Instagram, Facebook and X. Includes automatic language detection across 99 languages, multi-language recognition for mixed recordings, speaker diarization, timestamps, and export to TXT, SRT, VTT or CSV. Files can be up to 5 GB and 10 hours long.
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