You can drop your own file here
ElevenLabs Forced Alignment is a specialized AI model that creates precise timestamp mappings between spoken audio and written text transcripts. By analyzing audio files and their corresponding text, the model generates word-level or phrase-level timestamps that indicate exactly when each word is spoken. This synchronization capability is essential for workflows requiring accurate time-aligned transcripts, including subtitle generation, audiobook chapter creation, and accessible media production. Built on ElevenLabs' multilingual v2 technology, it supports 29 languages including English variants, Japanese, Chinese, German, French, Spanish, Arabic, and Russian, making it a versatile solution for global content creators.
Media Production: Automatically generate accurate subtitles for videos, documentaries, and films with precise word timing for post-production editing.
Audiobook Publishing: Create timed chapters and navigation points by aligning ebook text with recorded narration, improving listener experience.
Accessibility: Produce synchronized captions for podcasts, educational content, and corporate training materials to meet WCAG compliance standards.
Content Localization: Align dubbed audio tracks with original transcripts across multiple languages for international distribution.
Speech Analytics: Build time-stamped transcripts for customer service recordings, meetings, and interviews for searchable archives.
Text Input Best Practices: Provide accurate transcripts that match spoken content exactly. Detailed scene descriptions improve alignment for context-aware applications, while abstract text works for artistic or loosely structured audio.
Audio Quality Matters: Clear, high-quality audio produces the best results. Minimize background noise, echo, and overlapping speech. Enhanced sound effects require distinct, recognizable audio patterns for accurate timestamp generation.
URL Format: Ensure audio files are accessible via direct HTTPS URLs. Supported formats typically include MP3, WAV, and other common audio types.
Language Consistency: Match the text language with the spoken audio language for optimal alignment. Mixed-language content may reduce accuracy.
What audio formats does ElevenLabs Forced Alignment support?
The model accepts audio via URL in common formats like MP3 and WAV. Ensure files are publicly accessible or properly authenticated for API access.
How accurate is the timestamp alignment?
Accuracy depends on audio quality. Clear speech with minimal background noise produces word-level precision within milliseconds. Noisy or overlapping audio may reduce accuracy.
Can I use this model for real-time captioning?
This model is optimized for batch processing of pre-recorded audio rather than live streaming. For real-time needs, consider streaming transcription services.
What's the difference between this and speech-to-text models?
Speech-to-text generates transcripts from audio. Forced Alignment requires both audio and text as input, then creates precise timestamps mapping text to audio. Use this when you already have transcripts and need synchronization.
How do I handle long audio files?
The API accepts various audio lengths, but processing time scales with duration. For multi-hour content, consider splitting into manageable segments or check API documentation for length limits.
Is ElevenLabs Forced Alignment open-source?
No, this is a proprietary model accessible only through ElevenLabs' commercial API. Access requires API authentication and follows ElevenLabs' usage terms.