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+---
+layout: integration
+name: FunASR
+description: Transcribe audio files to Documents using FunASR — an open-source, self-hosted speech recognition toolkit supporting 50+ languages.
+authors:
+    - name: deepset
+      socials:
+        github: deepset-ai
+        twitter: Haystack_AI
+        linkedin: https://www.linkedin.com/company/deepset-ai/
+pypi: https://pypi.org/project/funasr-haystack/
+repo: https://github.com/deepset-ai/haystack-core-integrations/tree/main/integrations/funasr
+type: Data Ingestion
+report_issue: https://github.com/deepset-ai/haystack-core-integrations/issues
+version: Haystack 2.0
+toc: true
+---
+
+[![PyPI - Version](https://img.shields.io/pypi/v/funasr-haystack.svg)](https://pypi.org/project/funasr-haystack/)
+[![PyPI - Python Version](https://img.shields.io/pypi/pyversions/funasr-haystack.svg)](https://pypi.org/project/funasr-haystack/)
+[![test](https://github.com/deepset-ai/haystack-core-integrations/actions/workflows/funasr.yml/badge.svg)](https://github.com/deepset-ai/haystack-core-integrations/actions/workflows/funasr.yml)
+
+---
+
+### Table of Contents
+
+- [Overview](#overview)
+- [Installation](#installation)
+- [Usage](#usage)
+  - [FunASRTranscriber](#funasrtranscriber)
+- [License](#license)
+
+## Overview
+
+[FunASR](https://github.com/modelscope/FunASR) is an open-source speech recognition toolkit from Alibaba DAMO Academy that runs entirely locally — no API key required. It supports 50+ languages, speaker diarization, and timestamp extraction.
+
+This integration provides:
+
+- [`FunASRTranscriber`](https://docs.haystack.deepset.ai/docs/funasrtranscriber): Transcribes audio files to Haystack `Document` objects. Accepts file paths, `Path` objects, and `ByteStream` inputs.
+
+## Installation
+
+```bash
+pip install funasr-haystack
+```
+
+## Usage
+
+### FunASRTranscriber
+
+`FunASRTranscriber` transcribes audio files to Haystack `Document` objects using FunASR models. Models are downloaded from ModelScope on first use and cached in `~/.cache/modelscope`.
+
+#### Basic Example
+
+```python
+from haystack_integrations.components.audio.funasr import FunASRTranscriber
+
+transcriber = FunASRTranscriber()
+
+result = transcriber.run(sources=["speech.wav", "interview.mp3"])
+for doc in result["documents"]:
+    print(doc.content)
+```
+
+#### In a Pipeline
+
+```python
+from haystack import Pipeline
+from haystack.components.fetchers import LinkContentFetcher
+from haystack_integrations.components.audio.funasr import FunASRTranscriber
+
+pipe = Pipeline()
+pipe.add_component("fetcher", LinkContentFetcher())
+pipe.add_component("transcriber", FunASRTranscriber())
+
+pipe.connect("fetcher", "transcriber")
+
+result = pipe.run(
+    data={
+        "fetcher": {
+            "urls": ["https://example.com/speech.wav"],
+        },
+    }
+)
+print(result["transcriber"]["documents"][0].content)
+```
+
+#### Speaker Diarization
+
+```python
+from haystack.utils import ComponentDevice
+from haystack_integrations.components.audio.funasr import FunASRTranscriber
+
+transcriber = FunASRTranscriber(
+    model="paraformer-zh",
+    vad_model="fsmn-vad",
+    punc_model="ct-punc",
+    spk_model="cam++",
+    device=ComponentDevice.from_str("cuda"),
+)
+
+result = transcriber.run(sources=["meeting.wav"])
+doc = result["documents"][0]
+print(doc.content)
+print("Speakers:", doc.meta.get("speakers"))
+```
+
+## License
+
+`funasr-haystack` is distributed under the terms of the [Apache-2.0](https://spdx.org/licenses/Apache-2.0.html) license.