Speech-to-Text with Speaker Diarization.

State-of-the-art speech recognition with automatic speaker identification and intelligent noise removal.

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How Real STT Works.

Advanced audio processing pipeline that separates speakers, removes noise, and transcribes with high accuracy.

01

Audio Input

Upload or stream audio files

02

Noise Removal

AI filters background noise

03

Diarization

Identify individual speakers

04

Transcription

Convert speech to text

05

Output

Labeled, accurate transcripts

See it in action.

Experience Real STT's speaker diarization and transcription capabilities

Transcripts

S1
Speaker 1

Quick check-in. Maple Street is a mess. Time to fix it.

S2
Speaker 2

Totally. Some of those potholes could swallow a small car.

S1
Speaker 1

Or a very brave skateboarder.

S2
Speaker 2

We start next week. Jonas, four-week timeline?

S3
Speaker 3

Yep, unless the concrete throws a tantrum.

Real STT

Speech-to-text with speaker diarization

Try it out

Tailored for your industry.

Speaker Diarization

Automatically identify and separate different speakers in multi-person conversations

Noise Removal

Advanced AI filters remove background noise for crystal-clear transcriptions

Real-time Streaming

Live transcription with low latency for real-time applications

Multi-Language Support

Accurate transcription in multiple languages with automatic language detection

Timestamp Precision

Word-level timestamps for precise alignment with audio

Custom Vocabulary

Add industry-specific terms and names for improved accuracy