Whisper AI

Whisper AI platform architecture and web transcription workspace

Whisper AI (accessible at whisperai.com) is a web-based artificial intelligence audio transcription workspace, subtitle generator, and translation platform. Built on top of OpenAI’s Whisper speech recognition models, Whisper AI provides a user-friendly graphical interface for users who want the power of Whisper without managing Python scripts or terminal environments.

The platform is anchored by cloud-accelerated Whisper model clusters paired with automatic speaker diarization. Whisper AI features Large File Uploads (up to 5GB per file), Multi-Speaker Identification & Diarization, 99+ Language Translation & Transcription, Interactive Web Editor, and 1-click exports to SRT, VTT, PDF, DOCX, and TXT.

Core transcription capabilities and Whisper AI tools

Whisper AI delivers features for web-based audio transcription and subtitle generation:

• Web-based Whisper interface: Access OpenAI Whisper accuracy through a clean web interface without coding.
• Large audio & video uploads: Upload multi-hour recordings and video files up to 5GB in size.
• Automated speaker diarization: Accurately labels and separates different speakers throughout the conversation.
• 99+ language transcription & translation: Transcribe global languages and translate foreign speech into English.
• Interactive transcript editor: Click any word in the transcript to jump to that timestamp in the audio player.
• Multi-format export options: Export finalized transcripts as SRT subtitles, VTT files, PDF documents, or Word files.

Comparative benchmark: Whisper AI vs. OpenAI Whisper CLI and Otter.ai

Whisper AI provides a graphical web editor, large 5GB file uploads, and automated speaker separation.

Practical applications and operational limits

• Journalist interview transcription: Transcribe multi-hour recorded interviews with speaker separation.
• Video subtitle generation: Upload video files to generate synchronized SRT and VTT subtitle files for YouTube.
• Academic lecture notes: Convert university audio recordings into searchable text documents.
• Foreign language audio translation: Upload non-English recordings and export translated English transcripts.

Operating limits: Free trial allows transcribing short audio files. Full-length multi-hour file uploads, speaker diarization, and unlimited subtitle downloads require an active subscription.

Subscription plans and Whisper AI pricing

Whisper AI offers weekly and monthly subscription plans:

*Pricing and plan details verified as of August 2026.

Step-by-step workflow

1. Upload file: Drag and drop your audio (MP3, WAV, M4A) or video (MP4, MOV) file into whisperai.com.
2. Select language: Choose the spoken language or select “Auto-Detect” and enable English translation if needed.
3. Review & edit: Inspect the transcript in the web editor; click words to listen and edit typos.
4. Export file: Download your finished transcript as SRT, VTT, PDF, DOCX, or plain text.

Editorial verdict

• Best for: Journalists, content creators, researchers, and students who want the human-level accuracy of OpenAI Whisper in a simple web interface without coding or terminal setup.
• Not recommended for: Software developers who already run Whisper via command-line or API.
• Learning curve: None. Simple web upload and edit.
• Value threshold: Good value. The monthly plan ($19.99/mo) provides unlimited Whisper transcription and speaker labeling.
• Bottom line: Whisper AI is an accessible web wrapper for OpenAI Whisper, delivering accurate transcription and multi-speaker separation.