Spatial9 Documentation

Official Spatial9 documentation. Quickstarts, product guides, MCP, A2A and REST API references, enterprise and open-source pipelines, immersive formats, mixing standards and the science of 3D sound.

Getting started

What Spatial9 is, the core ideas behind immersive audio and how to make your first mix.

  • Introduction to Spatial9: What Spatial9 does, who it is for, and how the platform, the engine and the integrations fit together.
  • Quickstart: your first immersive mix: Turn a stereo song or a set of stems into an immersive mix, check it on headphones and export it.
  • Core concepts: Objects, beds, channels, scenes, rendering, binaural and loudness: the vocabulary used throughout these docs.
  • Choose the right workflow: Compare the app, AI assistants (MCP), agents (A2A), the REST API and the Acoustic Digital Twin, and pick the one that fits.

Products

How each Spatial9 product works, what it accepts and what it delivers.

Developers and agents

MCP, A2A and REST references, limits, Agent Skills, automation and enterprise pipelines.

  • MCP server reference: Connect Spatial9 to ChatGPT, Claude, Gemini, Cursor and any MCP client: endpoint, authentication, tools and examples.
  • A2A agent reference: The Spatial9 Agent2Agent endpoint: agent card, skills, tasks, idempotency, streaming and push notifications.
  • REST API reference: Authentication, resumable uploads, render jobs, status polling and downloads over HTTP.
  • Limits, quotas and errors: Concurrency, daily render and task limits, file size rules, retries, idempotency and error handling.
  • Agent Skills: The free SKILL.md library that teaches coding agents to use Spatial9, how to install it and what each skill does.
  • Agent frameworks: Use Spatial9 from LangGraph, CrewAI, AutoGen, the OpenAI Agents SDK, Google ADK and other agent frameworks.
  • Workflow automation: n8n, Zapier and Make: Build no-code and low-code pipelines that send audio to Spatial9 and deliver the results.
  • Enterprise data platforms: Run governed spatial audio pipelines on Databricks, Snowflake, Google Vertex AI and Amazon Bedrock.
  • Databricks Solutions Accelerator: A deployable Databricks project that routes tracks through MCP, A2A or the REST API with a shared audit trail.
  • Open-source real-time pipeline: A reference pipeline built only on open-source tools: MinIO, Kafka, FFmpeg, Valkey and server-sent events.

Formats and delivery

Eclipsa Audio, IAMF, Dolby Atmos, ADM, Ambisonics, binaural and where to publish.

Mixing standards

Professional rules for immersive mixes, stems, upmixing and genre approaches.

Science and research

Psychoacoustics, the spatial audio ontology and the research behind the engine.

Reference

Answers to common questions and fixes for common problems.

Read the Spatial9 blog