# TensorStudio - Soket AI Labs ## Docs - [Delete files](https://docs.tensorstudio.ai/api-reference/endpoint/delete-files.md): Delete one or more uploaded files by file_id. Removes storage objects, upload records, and related jobs. - [Download batch results](https://docs.tensorstudio.ai/api-reference/endpoint/get-download-batch-batch-id.md): Stream all results for a batch as a downloadable NDJSON or JSON file. - [List files](https://docs.tensorstudio.ai/api-reference/endpoint/get-files.md): List all files uploaded by the authenticated user, flattened across upload batches. Returns newest files first. - [Get file upload status](https://docs.tensorstudio.ai/api-reference/endpoint/get-files-upload-batch-upload-id.md): Poll upload progress for a batch_upload_id returned by POST /files/upload. Returns per-file upload_status and gcs_key for completed files. - [Get batch results](https://docs.tensorstudio.ai/api-reference/endpoint/get-results-batch-batch-id.md): Paginated batch results grouped by file. By default returns merged per-file transcription results. - [Get file results](https://docs.tensorstudio.ai/api-reference/endpoint/get-results-file-file-id.md): Returns merged transcript and status for one file. - [Get batch status](https://docs.tensorstudio.ai/api-reference/endpoint/get-status-batch-batch-id.md): Returns aggregate progress across files and chunk jobs in the batch. - [Submit batch transcription](https://docs.tensorstudio.ai/api-reference/endpoint/post-batch.md): Submit a batch for transcription using a completed batch_upload_id, specific file_ids from prior uploads, and/or an explicit sources list with gcs_key or url per item. - [Upload files](https://docs.tensorstudio.ai/api-reference/endpoint/post-files-upload.md): Accept multipart files, spool them to disk, start background storage uploads, and return immediately with a batch_upload_id. Poll GET /files/upload/{batch_upload_id} until uploads complete before submitting a batch. - [Dhrith ASR API](https://docs.tensorstudio.ai/api-reference/introduction.md): Upload audio, submit batches, monitor transcription progress, and fetch merged results from the Dhrith ASR API server. - [API keys](https://docs.tensorstudio.ai/apis.md): Easily create and manage your API keys for seamless integration. - [WebSocket API](https://docs.tensorstudio.ai/concepts/quickstart_websocket.md): Get started with Soket AI Realtime Speech API in minutes - [Realtime Console](https://docs.tensorstudio.ai/concepts/realtime_console.md): Deploy interactive console to integrate with your web app - [Tool Calling](https://docs.tensorstudio.ai/concepts/tool_calling.md): This document explains the Tool Calling feature in our Realtime Speech API. - [Understanding VAD](https://docs.tensorstudio.ai/concepts/vad.md): This document explains the Voice Activity Detection (VAD) feature in our Realtime Speech API. - [Voices](https://docs.tensorstudio.ai/concepts/voice.md): Voices available in the Realtime Speech API - [Relay Server](https://docs.tensorstudio.ai/deploy/relay_server.md): Connect to Realtime Speech API through relay server - [Evaluation and Benchmarking](https://docs.tensorstudio.ai/dhrith/evaluation-and-benchmarking.md): Benchmark methodology, metrics, and comparative evaluation results for Dhrith. - [Introduction](https://docs.tensorstudio.ai/dhrith/introduction.md): Explore our Guides and API Reference to get the most out of TensorStudio by Soket AI Labs - [Integrations](https://docs.tensorstudio.ai/integrations/index.md): Integrate TensorStudio with your favorite tools and platforms - [Introduction](https://docs.tensorstudio.ai/introduction.md): Explore our Guides and API Reference to get the most out of TensorStudio by Soket AI Labs - [Quickstart with Playground](https://docs.tensorstudio.ai/quickstart_playground.md): Experiment with TensorStudio Playground to create smart voice interactions. - [TensorStudio SDK](https://docs.tensorstudio.ai/sdk/overview.md) - [NodeJS SDK](https://docs.tensorstudio.ai/sdk/quickstart_nodejs_sdk.md): Get started with the Realtime Speech API SDK in minutes - [Python SDK](https://docs.tensorstudio.ai/sdk/quickstart_python_sdk.md): Get started quickly with the Realtime Python SDK ## OpenAPI Specs - [openapi](https://docs.tensorstudio.ai/api-reference/openapi.json) ## Optional - [Community](https://discord.gg/regKDRrpYE) - [Blog](https://soket.ai/blogs/pragna_1b)