Video to Text

Video to Text is a transcription tool that ingests video files and returns time-stamped transcripts. It uses automatic speech recognition (ASR) models trained on broad media domains to convert speech into text, with optional punctuation and speaker labeling. For example, uploading an English MP4 yields a transcript with timestamps and caption formats.

Core features include language selection, timestamp generation, optional diarization for speaker labeling, and export in TXT, SRT, or VTT formats. It supports batch processing for long videos and can handle multi-speaker conversations with optional confidence scores for each segment.

Audience and use cases include content creators, researchers, educators, marketing teams, and accessibility professionals who rely on transcripts for searchability, repurposing, and captioning. The tool integrates with standard workflows and supports post-processing in editor pipelines.

Core processing flow: ingest video, run ASR, apply punctuation, generate time-aligned transcripts, and export in preferred formats. It uses privacy-conscious handling, retains transcripts for a defined period, and allows suppression of data analytics if required.