docs: document all available backends and add "built by us" list

README.md

@@ -220,10 +220,25 @@ For older news and full release notes, see [GitHub Releases](https://github.com/
 
 ## Supported Backends & Acceleration
 
-LocalAI supports **36+ backends** including llama.cpp, vLLM, transformers, whisper.cpp, diffusers, MLX, MLX-VLM, and many more. Hardware acceleration is available for **NVIDIA** (CUDA 12/13), **AMD** (ROCm), **Intel** (oneAPI/SYCL), **Apple Silicon** (Metal), **Vulkan**, and **NVIDIA Jetson** (L4T). All backends can be installed on-the-fly from the [Backend Gallery](https://localai.io/backends/).
+LocalAI supports **60+ backends** including llama.cpp, vLLM, SGLang, transformers, whisper.cpp, diffusers, MLX, MLX-VLM, and many more. Hardware acceleration is available for **NVIDIA** (CUDA 12/13), **AMD** (ROCm), **Intel** (oneAPI/SYCL), **Apple Silicon** (Metal), **Vulkan**, and **NVIDIA Jetson** (L4T). All backends can be installed on-the-fly from the [Backend Gallery](https://localai.io/backends/).
 
 See the full [Backend & Model Compatibility Table](https://localai.io/model-compatibility/) and [GPU Acceleration guide](https://localai.io/features/gpu-acceleration/).
 
+### Backends built by us
+
+Most backends wrap a best-in-class upstream engine. A handful of them are native C/C++/GGML engines (no Python at inference) developed and maintained by the LocalAI project itself:
+
+| Backend | What it does |
+|---------|-------------|
+| [parakeet.cpp](https://github.com/mudler/parakeet.cpp) | C++/GGML port of NVIDIA NeMo Parakeet ASR (tdt/ctc/rnnt/hybrid), with cache-aware streaming transcription |
+| [voxtral.c](https://github.com/mudler/voxtral.c) | Voxtral Realtime 4B speech-to-text in pure C |
+| [vibevoice.cpp](https://github.com/mudler/vibevoice.cpp) | Native port of Microsoft VibeVoice for TTS (voice cloning) and long-form ASR with speaker diarization |
+| [rf-detr.cpp](https://github.com/mudler/rf-detr.cpp) | Native RF-DETR object detection and instance segmentation |
+| [locate-anything.cpp](https://github.com/mudler/locate-anything.cpp) | Open-vocabulary object detection and visual grounding (LocateAnything-3B) |
+| [depth-anything.cpp](https://github.com/mudler/depth-anything.cpp) | Depth Anything 3 monocular metric depth + camera pose estimation |
+| [LocalVQE](https://github.com/localai-org/LocalVQE) | Joint acoustic echo cancellation, noise suppression, and dereverberation |
+| [local-store](https://github.com/mudler/LocalAI) | Local-first vector database for embeddings (shipped in-tree) |
+
 ## Resources
 
 - [Documentation](https://localai.io/)

docs/content/features/backends.md

@@ -8,6 +8,12 @@ url: "/backends/"
 
 LocalAI supports a variety of backends that can be used to run different types of AI models. There are core Backends which are included, and there are containerized applications that provide the runtime environment for specific model types, such as LLMs, diffusion models, or text-to-speech models.
 
+## Available Backends
+
+LocalAI ships **60+ backends** covering text generation, speech-to-text, text-to-speech, music and sound generation, image and video generation, vision and object detection, audio processing, reranking, fine-tuning, and more. Each one is published as an on-demand OCI image with the appropriate acceleration variants (CPU, CUDA 12/13, ROCm, Intel SYCL, Vulkan, Metal, Jetson L4T).
+
+For the complete list of backends, the model families they support, and their acceleration targets, see the [Backend & Model Compatibility Table]({{%relref "reference/compatibility-table" %}}). The authoritative source is [`backend/index.yaml`](https://github.com/mudler/LocalAI/blob/master/backend/index.yaml), and the same catalog is browsable in the web UI under the **Backends** section.
+
 ## Managing Backends in the UI
 
 The LocalAI web interface provides an intuitive way to manage your backends:
@@ -118,8 +124,13 @@ For getting started, see the available backends in LocalAI here: https://github.
 
 LocalAI supports various types of backends:
 
-- **LLM Backends**: For running language models
-- **Diffusion Backends**: For image generation
-- **TTS Backends**: For text-to-speech conversion
-- **Whisper Backends**: For speech-to-text conversion
-- **Sound Generation Backends**: For music and audio generation (e.g., ACE-Step)
+- **LLM Backends**: For running language models (e.g., llama.cpp, vLLM, SGLang, transformers, MLX)
+- **Speech-to-Text Backends**: For transcription (e.g., whisper.cpp, parakeet.cpp, faster-whisper, NeMo)
+- **Text-to-Speech Backends**: For speech synthesis (e.g., piper, Kokoro, VibeVoice, Qwen3-TTS)
+- **Sound Generation Backends**: For music and audio generation (e.g., ACE-Step)
+- **Image & Video Generation Backends**: For diffusion models (e.g., stable-diffusion.cpp, diffusers)
+- **Vision & Detection Backends**: For object detection, segmentation, depth, and face/voice recognition (e.g., rf-detr.cpp, locate-anything.cpp, sam3.cpp, insightface)
+- **Audio Processing Backends**: For voice activity detection and audio enhancement (e.g., Silero VAD, LocalVQE)
+- **Utility Backends**: For reranking, fine-tuning, quantization, and vector storage (e.g., rerankers, TRL, local-store)
+
+See the [Backend & Model Compatibility Table]({{%relref "reference/compatibility-table" %}}) for the full catalog.