English

This tool accepts video or audio inputs and uses automated speech recognition to produce a text transcript. It supports exporting in multiple formats such as plain text, SRT, and VTT, with optional time codes. It can operate on individual files or in batches, enabling consistent transcript generation across large media libraries.
Conceptually, the workflow involves optional audio enhancement, language detection or selection, ASR inference, and optional post-processing like punctuation restoration and speaker labeling. Output transcripts are aligned to the audio timeline and can be used for captions, search indexing, and content repurposing. This differentiates from static captioning by offering flexible formats and batch processing.
Target users include media producers, researchers, educators, journalists, and accessibility teams who need reliable, searchable transcripts. Unique value comes from high accuracy, support for multiple export formats, batch processing, and privacy-conscious data handling. Typical use cases include captions for videos, meeting or lecture transcripts, podcast notes, and archival indexing.