Transform audio and video to text instantly with AI-powered transcription
Transcriptum is an AI-powered transcription service that converts audio and video files into accurate text in minutes. Built on WhisperX technology, it supports 50+ languages with automatic detection, speaker diarization, and direct transcription from YouTube and TikTok URLs. Plans include AI analysis features like summaries, Q&A generation, sentiment analysis, and action-item extraction powered by OpenAI, Gemini, and DeepSeek models.
High-accuracy speech-to-text with word-level timestamps and automatic language detection, processing files 10-20x faster than real-time.
Automatically distinguishes and labels different speakers, with customizable speaker names (e.g., rename SPEAKER_00 to John) saved automatically.
Paste a YouTube, TikTok, or other video platform URL and Transcriptum downloads and transcribes the content automatically.
Transcribes English, Spanish, French, German, Chinese, Japanese, Korean, and dozens more with automatic language detection.
Generates summaries, topic extraction, Q&A, key themes, insights, fact-checking, sentiment analysis, and action items using OpenAI, Gemini, and DeepSeek models.
Download transcriptions as TXT, SRT, VTT, or DOCX, with optional timestamps and speaker labels for subtitles and documentation.
Creators transcribe episodes or paste YouTube/TikTok URLs to generate show notes, subtitles (SRT/VTT), and blog content from existing media.
Teams transcribe recorded calls and interviews with speaker labels, then use AI summaries and action-item extraction to capture decisions and follow-ups.
Researchers and journalists transcribe long interviews in 50+ languages, with Q&A generation and key-theme analysis to speed up qualitative review.
Video producers export VTT/SRT caption files with word-level timestamps to make content accessible and searchable.
Handles MP3, WAV, MP4, MOV, AVI, M4A, FLAC, and 50+ other audio and video formats with automatic detection.
Enterprise-grade encryption in transit and at rest, with files automatically deleted from servers after transcription completes.

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