{"slug": "how-to-add-offline-speech-image-understanding-and-image-generation-to-your-app", "title": "How to Add Offline Speech, Image Understanding, and Image Generation to Your App in 2026", "summary": "A developer has released OGAD (Off Grid AI Desktop), a local gateway that exposes offline vision, transcription, image-generation and text-to-speech capabilities to apps through a single HTTP address on port 7878. The tool routes each task to a separate locally downloaded model — vision-capable chat models for image understanding, transcription models for audio, image-generation models for illustrations and a supported speech runtime for spoken output — so a configured workflow can run without an online AI provider. The guide notes the verified Windows stable package lacks the same local speech-output runtime, so a Mac is required for the full capability set.", "body_md": "A small app can do more than send text to a chatbot. It can explain a screenshot, turn a recording into text or create an illustration while the required models run on the user's computer.\n\nOGAD (Off Grid AI Desktop) exposes those local capabilities through one gateway. Your app uses a separate model route for each job, with a shared HTTP address. Download the models and required assets first; then a configured local workflow can run without an online AI provider.\n\n[Download OGAD for Mac or Windows](https://getoffgridai.co/desktop/)\n\n| Reader or user task | API route | Local model needed | \n|---|---|---|\n| Explain an image | `POST /v1/chat/completions` with image content | Vision-capable chat model | \n| Transcribe a recording | `POST /v1/audio/transcriptions` | Transcription model | \n| Create an illustration | `POST /v1/images/generations` | Image-generation model | \n| Read text aloud | `POST /v1/audio/speech` | Supported speech-output runtime and voice | \n\nThese are separate capabilities. A text-only model does not become a vision model because the request contains an image.\n\nUse a Mac for the complete set in this guide. The verified Windows stable package does not include the same local speech-output runtime. Windows can use supported local text/vision, transcription and image-generation routes, but check the installed model and runtime for each task.\n\nCore inference and the gateway do not require Pro capture. Start with one capability before building a UI around several at once.\n\nIn OGAD, download and select a supported local vision model in **Models**. Open **Gateway** and check the local address. The example below uses the normal `7878` port; replace it if your app shows another one.\n\nSave a small PNG image as `example.png`. This Python 3 script sends the local image as a data URL, so it does not need a remotely hosted image:\n\n``` python\nimport base64\nimport json\nfrom pathlib import Path\nfrom urllib.request import Request, urlopen\n\nBASE = \"http://127.0.0.1:7878\"\n\ndef request_json(path, payload=None):\n    data = None if payload is None else json.dumps(payload).encode(\"utf-8\")\n    request = Request(BASE + path, data=data,\n                      headers={\"Content-Type\": \"application/json\"})\n    with urlopen(request, timeout=240) as response:\n        return json.load(response)\n\nmodels = request_json(\"/v1/models\")[\"data\"]\nmodel = next((item for item in models\n              if item.get(\"kind\") == \"vision\" and not item.get(\"remote\")), None)\nif model is None:\n    raise SystemExit(\"Select a downloaded local vision model in OGAD first.\")\n\nencoded = base64.b64encode(Path(\"example.png\").read_bytes()).decode(\"ascii\")\nresult = request_json(\"/v1/chat/completions\", {\n    \"model\": model[\"id\"],\n    \"messages\": [{\"role\": \"user\", \"content\": [\n        {\"type\": \"text\", \"text\": \"Describe the visible image. Mark unclear details.\"},\n        {\"type\": \"image_url\", \"image_url\": {\"url\": \"data:image/png;base64,\" + encoded}},\n    ]}],\n    \"max_tokens\": 160,\n    \"stream\": False,\n})\nprint(result[\"choices\"][0][\"message\"][\"content\"])\n```\n\nCompare the description with the source image. Image understanding can make mistakes, especially with small text or ambiguous details. Your app should let the user check the image beside the answer.\n\nFor image generation, select a downloaded image model and send a request such as:\n\n```\n{\n  \"prompt\": \"A simple watercolor illustration of a quiet reading desk, no text\",\n  \"size\": \"512x512\",\n  \"response_format\": \"b64_json\"\n}\n```\n\nSend it to `/v1/images/generations`. A successful JSON result contains an image in `data[0].b64_json`; decode it before displaying or saving it. Use a size supported by the chosen model. Do not assume a cloud image API's entire parameter set is supported here.\n\nFor spoken output on a supported Mac, prepare a local voice in OGAD first. The speech endpoint accepts JSON with `input` text and returns WAV audio by default. Your app must read those bytes as audio rather than trying to parse them as JSON.\n\nTranscription uses a multipart `file` field, not a JSON string containing the recording's path. The running `/docs` reference gives each route's format.\n\nShow useful loading and error states. The first request can include a model load, and a model that does not fit the available memory cannot be fixed by a longer HTTP timeout alone. Keep the first interaction small and avoid firing every model route at once.\n\nUse local selections for every capability in an offline workflow. One configured remote provider can make an otherwise local app depend on internet. Complete first-use asset downloads before the offline check.\n\nThe gateway listens on network interfaces and its inference endpoints do not require an API key. These examples use `127.0.0.1` on the same computer. Keep the host on a trusted network and do not expose this port to the public internet.\n\nThese API routes are present in [OGAD 0.0.51](https://github.com/off-grid-ai/OGAD/releases/tag/v0.0.51). The running gateway also serves its API reference at `/docs`.\n\n[Download OGAD](https://getoffgridai.co/desktop/) and connect your app to one image question, one recording or one generated illustration. Add the next capability after the first gives a result the user can inspect.", "url": "https://wpnews.pro/news/how-to-add-offline-speech-image-understanding-and-image-generation-to-your-app", "canonical_source": "https://dev.to/alichherawalla/how-to-add-offline-speech-image-understanding-and-image-generation-to-your-app-in-2026-109f", "published_at": "2026-09-29 10:41:39+00:00", "updated_at": "2026-09-29 10:46:47.163448+00:00", "lang": "en", "topics": ["ai-tools", "ai-products", "generative-ai", "computer-vision", "ai-infrastructure"], "entities": ["OGAD", "Off Grid AI Desktop", "Mac", "Windows"], "also_reported_by": [], "alternates": {"html": "https://wpnews.pro/news/how-to-add-offline-speech-image-understanding-and-image-generation-to-your-app", "markdown": "https://wpnews.pro/news/how-to-add-offline-speech-image-understanding-and-image-generation-to-your-app.md", "text": "https://wpnews.pro/news/how-to-add-offline-speech-image-understanding-and-image-generation-to-your-app.txt", "jsonld": "https://wpnews.pro/news/how-to-add-offline-speech-image-understanding-and-image-generation-to-your-app.jsonld"}}