| What it does | Audio and video to text transcription API, MCP server, CLI and dashboard
| A typed decision API for routing, classification, and scoring
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| Stage | Not given
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| Founded | Not given
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| Based in | Not given
| CA
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| Pricing model | Not given
| Paid
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| Pricing | Free: 60 minutes once, no card required. Monthly: $9/month for 1,000 minutes. Annual: $90/year for 1,000 minutes. Top-ups: $6 per 1,000 minutes (Monthly) or $5 per 1,000 minutes (Annual).
| $0.040 USD per million input tokens; output is free
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| Key features | - Transcribe YouTube, X, TikTok, Instagram, Facebook, Bluesky and other social media videos
- Upload audio and video files up to 2 GB
- AI speech-to-text transcription up to 5 hours per file
- Speaker identification (diarization)
- Multiple output formats: JSON, TXT, SRT, VTT
- Automatic language detection with mixed-language support
- Timestamps for each transcript segment
- Webhooks for transcription completion or failure
- Access via REST API, CLI, MCP server or web dashboard
- Integration with AI agents (Claude, ChatGPT, Cursor, VS Code)
| - Choice question type with multiple options and probability scores
- Boolean question type for true/false judgments with probability
- Score question type with min/max range and level probabilities
- Filter list endpoint for ranking JSON items by instruction match
- Support for image and audio input with Crossroads-M model
- Idempotency keys for safe retries without duplicate charges
- Rate limiting with 120 requests per minute default and 4 concurrent requests
- Multiple question types per request with single round trip
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| What makes it different | - Uses existing captions from YouTube, X, TikTok and other platforms when available, otherwise AI transcription at the same price
- Pricing model: 1 credit = 1 audio minute, all transcription sources cost the same
- MCP server enables transcription through AI agents like Claude and ChatGPT
- Failed and canceled transcriptions are never charged
| - Returns probability scores for every answer to guide decision-making confidence
- Supports image and audio analysis alongside text with dedicated audio-trained model
- Filter lists by instruction match without writing text generation code
- Typed output constrains format while preserving flexible judgment logic
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 4 ● no change since last check | 8 ▲ +2 (up) since last check |
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| Trust Flow (Majestic) | 3 | 0 |
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| Citation Flow (Majestic) | 15 | 0 |
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| Referring domains (Majestic) | 6 | 0 |
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transcript1
Crossroads