Transcribe video from 99 languages with timestamps and speaker labels
Video to Text is an AI transcription platform covering uploaded files plus public videos from YouTube, TikTok, Instagram, X and Facebook: 99 languages with automatic detection, speaker diarization, timestamps, and exports to TXT, SRT, VTT and CSV. The use cases it targets — subtitles, searchable notes, interview transcripts, meeting minutes, course material and content repurposing — are the standard transcription jobs, done with support for multilingual recordings in one file.
The platform-URL transcription (paste a YouTube or TikTok link instead of uploading) is the convenient differentiator for content repurposing workflows.
Who it's for: content creators turning videos into posts and subtitles, students and researchers archiving lectures and interviews, and teams that need meeting records in searchable text. Pricing runs $9.9/month with pay-as-you-go options. For accuracy-critical work, spot-check speaker labels and numbers on your first file — diarization is where transcription tools most often stumble, and the fix is always cheaper before publication than after.
What it is
Transcribe video from 99 languages with timestamps and speaker labels
Pricing
Freemium
Primary category
Productivity
Source code
Closed source / hosted
Video to Text is one of many tools in its category. Before committing to it, weigh a few practical points that tend to decide whether a tool actually fits your work:
We describe Video to Text and its alternatives honestly so you can compare on substance. Browse the similar tools below to see how it stacks up against other options in the same category.
