High-Volume Transcription for Multilingual Dataset.

Client's Challenge & Our Solution

A client approached FutureBeeAI to transcribe 400 hours of multilingual speech data within one month, focusing on Hindi, Gujarati, Marathi, Tamil, Telugu, Spanish, Arabic, German, and English (US). They provided AI-generated segments and required additional quality classification of these segments before editing and final transcription.

We uploaded the client’s segmentation JSON and raw audio to our transcription platform and our human transcribers reviewed and classified each segment based on its quality, made necessary edits, and completed the transcription, We implemented a QA layer, ensuring accuracy and consistency across all languages.

Outcome & Features:

Transcribed 400 hours of multilingual speech data in just one month.

Implemented a classification layer for AI-generated segments to ensure quality before transcription.

Delivered high-quality, edited, and classified transcriptions with one layer of quality assurance, meeting tight deadlines and boosting the client’s model accuracy.