Arabic-first Multilingual Transcription
Beyond documents
Coming soon
A planned multilingual transcription capability designed from Arabic outward. The intended result is time-aligned text with distinct speaker turns, prepared for later extraction workflows.
- Audio & video input
Planned multilingual recordings, beginning with Arabic
- Model evaluation
Planned evaluation of advanced speech and language systems
- Timing & speakers
Intended word and segment timing with distinct speaker turns
- Structured transcript
Intended transcript preparation for later extraction
- Planned Arabic-first, multilingual design
- Planned time alignment
- Planned speaker-turn structure
Coming soon. Audio and video upload, transcription, speaker separation, timing, and production delivery are not currently available.
Arabic-first. Multilingual by design.
Product direction
The direction begins with Arabic and extends across multilingual recordings rather than treating Arabic as a secondary language.
- Planned Arabic-first recognition and review
- Intended support for multilingual audio and video recordings
- A planned transcript model for later extraction
Evaluate the right systems for the recording
Model direction
We plan to evaluate advanced speech-recognition and language-model systems for Arabic-first transcription across multilingual recordings.
- Speech recognition and language identification remain under evaluation
- Language models may be considered selectively for transcript normalization and structured extraction
- No model, vendor, benchmark, or production configuration has been selected
Planned text connected to time
Planned structure
The planned transcript keeps timing at useful levels so people and systems can return to the source moment.
- Planned segment-level timing
- A direction toward word-level timing
- Planned navigation through longer recordings
Planned speaker turns that remain distinct
Planned structure
The direction includes distinguishing speakers so the transcript can preserve who said what instead of flattening every voice together.
- Planned speaker-turn separation
- Planned distinction between speaker turns within a recording
- Planned structured output for future pipelines