Transkriptor

Converts audio files into text transcripts with support for 100+ languages. Uses AI speech recognition to process spoken content and generate written text output with reasonable accuracy for non-English languages.

Extracts audio from video files and converts it to text transcripts with synchronized timestamps. Supports common video formats and maintains temporal alignment between spoken content and text.

Creates searchable transcripts that allow users to find specific words, phrases, or topics within the transcript text. Enables quick navigation to relevant sections.

Enables sharing of transcripts with team members or collaborators through shareable links or direct access. Allows multiple users to view and potentially edit the same transcript.

Applies formatting to transcripts such as speaker labels, timestamps, paragraph breaks, and text styling. Improves readability and professional appearance of transcript documents.

Automatically detects and labels different speakers in audio/video content, assigning speaker names or labels to transcript segments. Helps distinguish between multiple participants in conversations.

Provides a web-based editor for correcting transcription errors, adjusting timestamps, and refining transcript content without requiring re-processing of the original audio. Changes are saved directly to the transcript.

Allows manual adjustment of timestamps in transcripts to ensure accurate alignment between text and audio/video playback. Useful for correcting timing issues from initial transcription.

Exports transcripts in SRT (SubRip) format, a standard subtitle file format compatible with most video players and editing software. Includes timestamps for subtitle display timing.

Exports transcripts in VTT (WebVTT) format, a modern subtitle format used for web video players and streaming platforms. Supports styling and is more flexible than SRT.

Exports transcripts as PDF documents for printing, sharing, or archival purposes. Creates a formatted document suitable for distribution and long-term storage.

Processes multiple audio or video files sequentially or in parallel, converting each to text without requiring individual uploads. Useful for handling large content libraries.

Automatically detects the language spoken in audio content and applies the appropriate transcription model without requiring manual language selection.