Speech-to-Text Built forReal Arabic

Transcribe Arabic speech with industry-leading accuracy across dialects, mixed Arabic-English conversations, live calls, meetings, podcasts, and enterprise workflows.

Built for the Way Arabic Is Actually Spoken

Arabic isn't one language; it's dozens of dialects, accents, and everyday expressions. Hamsa Speech-to-Text is designed specifically for Arabic speech, automatically recognizing regional dialects, code-switching, and natural conversations without requiring manual language selection. Whether your users speak Saudi, Emirati, Jordanian, Egyptian, Iraqi, Levantine, or Modern Standard Arabic, Hamsa understands them naturally.

Why Teams Choose Hamsa STT

Arabic-First Recognition

Optimized for Arabic dialects instead of treating Arabic as an afterthought.

Automatic Dialect Detection

No configuration required. Hamsa detects the dialect automatically.

Arabic + English Code Switching

Understand conversations that naturally switch between Arabic and English in the same sentence.

Production-Ready Accuracy

Built for real customer conversations not ideal demo recordings.

Real-Time & Batch Processing

Choose between ultra-fast streaming transcription or high-accuracy batch processing.

Enterprise Ready

Designed for applications, APIs, media platforms, and large-scale enterprise deployments.

Designed for Every Type of Audio

One Model. Every Conversation.

Hamsa Speech-to-Text is designed for every kind of spoken content.

Customer Calls

Automatically transcribe inbound and outbound conversations.

Meetings

Generate searchable meeting transcripts with speaker separation.

Podcasts

Create transcripts ready for publishing, editing, and repurposing.

Media Production

Generate subtitles and captions with precise timestamps.

Voice Agents

Power real-time AI conversations with live transcription.

Research & Interviews

Document interviews with speaker identification and editable transcripts.

Powerful Features

More Than Speech Recognition

Speaker Diarization

Automatically identify and separate multiple speakers in every conversation.

Word-Level Timestamps

Synchronize every spoken word with precise timestamps for editing, playback, and subtitle generation.

Live Streaming

Receive transcription in real time with ultra-low latency.

Automatic Punctuation

Readable transcripts without manual cleanup.

Searchable Transcripts

Turn conversations into searchable knowledge.

Custom Vocabulary

Improve recognition for company names, products, medical terms, legal terminology, and industry-specific language.

Secure Processing

Enterprise-grade encryption and secure APIs built for production environments.

Two Models. Built for Different Needs.

Highest accuracy

STT Standard

Highest transcription accuracy for recorded content.

  • Podcasts
  • Meetings
  • Recorded Audio
  • Batch Processing
  • Word-level timestamps
Lowest latency

STT Realtime

Lowest possible latency for live conversations.

  • Voice Agents
  • Phone Calls
  • Live Streaming
  • WebSockets
  • Streaming transcription

How It Works

1 Upload or Stream Audio
2 Automatic Arabic Dialect Detection
3 Speaker Recognition
4 High-Accuracy Transcription
5 Edit, Export, or Connect to Your Applications
Integrates With the Entire Hamsa Platform

One Platform. Endless Possibilities.

Your transcripts can immediately power other Hamsa products.

Speech-to-Text & AI Docs

Automatically turn meetings into reports, articles, documentation, and summaries.

Speech-to-Text & Translation

Translate conversations across languages while preserving context.

Speech-to-Text & Voice Agents

Understand users during live conversations.

Speech-to-Text & Content Generation

Create blogs, captions, social media posts, FAQs, and knowledge articles from spoken content.

Turn Every Conversation Into Actionable Data

Start building with Hamsa today!