Overview of Sanas

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What is Sanas SDK?

The Sanas SDK processes speech audio in real time. You feed it audio frames and it returns processed audio frames — for example noise-cancelled, speech-enhanced, or accent-converted speech, or speech translated into another language. With audio processing (things like noise cancellation, speech enhancement, and accent conversion), you pick the specific model you want and the system cleans up or transforms the audio almost instantly.
Language Translation works a little differently. Instead of choosing a model, you just tell it the language someone is speaking and the language you want them heard in. Behind the scenes it does three jobs — transcribes the speech, translates it, and re-speaks it in the target language — and hands you back both the translated audio and a text transcript. Because it’s doing all three steps, it takes a few seconds longer than the audio-processing features, so it’s best suited to conversations where a slight delay is fine.

The good news: setting it up is the same either way. The connection, activation, and start-up steps are identical — Language Translation just needs the language settings instead of a model choice.

The Python package ships as a self-contained wheel: everything the SDK needs is bundled inside it, so there is no separate native library to install or manage. You just create a virtual environment and pip install the wheel. You work with interleaved float32 PCM audio: push frames in with process_frame and read processed frames back. The SDK does not open microphones or speakers for you — you bring your own audio (from a file, a socket, a media stream, etc.). Enterprise-ready with security, compliance, and support. Sanas also offers a standalone Language Translation API for real-time speech-to-speech in the browser — if that’s your use case, start there instead of the SDK.

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What can you do with the Sanas SDK ?

• Audio processing — run a model (speech enhancement, accent conversion,…) over your audio, selected by a model key.
• Language Translation (LT) — translate speech from one language to another and receive both translated audio and transcript segments.
• Pipeline lifecycle — an audio_pipeline_state_notify callback reports the processing pipeline state (PipelineState); wait for RUNNING before feeding frames.

Audio processing vs. Language Translation. The SDK supports two modes that differ in how you select them and what they return. Audio processing (speech enhancement, noise cancellation, accent conversion) is chosen by setting a model key on AudioAttributes.model_name — for example SE2.2 or AT5.2 — and returns processed audio frames with minimal latency. Language Translation (LT) is selected instead by supplying a LanguageTranslationConfig (lt_config) and leaving model_name empty; you specify a source and target language rather than a model, and the pipeline returns both translated audio and transcript segments via a callback. Because LT runs speech-to-text, translation, and text-to-speech end to end, it carries higher latency than the audio-processing models, so plan for a longer buffer/drain window. Everything else stays the same: you use the identical create_sdk → activate_api_key → create_audio_processor flow and wait for PipelineState.RUNNING before feeding frames. Key types: InitParams, create_sdk, Sdk, AudioAttributes, ProcessorAttributes, AudioProcessor, AudioFrame, LanguageTranslationConfig, CloudInferencingParams, PipelineState, SdkResult.

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How Audio processing works.

The Sanas SDK Connector sits between your application and Sanas Models, managing the connection to the inference engine. It sends input, receives processed output, and streams data in real-time using SIP (Session Initiation Protocol) and RTP (Real-Time Transport Protocol). The Sanas SDK can be deployed via Sanas Cloud (recommended) or self-hosted (coming soon) on your own infrastructure.

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Core Capabilities

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Available Models

See the full model comparison →

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What You Can Build

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Key Features

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Ready to Build?

Request your API keys and integration credentials, then use the Quick Start to start streaming clean audio in minutes.

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Resources