blueprints
Blueprints is a developer-first hub from Mozilla.ai that provides open-source, runnable AI workflow templates and example projects ("Blueprints") for tasks like speech-to-text, OCR, model finetuning, agents, and evaluation to help developers prototype and reproduce AI pipelines.
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blueprints
Blueprints is presented as a developer-first hub from Mozilla.ai that aggregates open-source, runnable AI workflow templates and example projects for common AI tasks. The site emphasizes saving time for developers with ready examples across domains such as speech-to-text, OCR, model training, evaluation, finetuning, agents, and more. Blueprints are intended for builders who want runnable demos, reproducible pipelines, and repo templates to accelerate prototyping and deployment of AI workflows.
A hub for open-source AI workflows with pre-configured templates and resources.
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Collection of Open-Source Blueprints
A catalog of example projects covering tasks like speech-to-text, OCR, LLM finetuning, synthetic data detection, agents, and document parsing (multiple Blueprints listed on the page).
Runnable Demos and Pipelines
Blueprints include locally runnable pipelines and demo apps (e.g., 'LLM Document Parser' provides a locally runnable pipeline; demos use Streamlit/Gradio or Jupyter notebooks as recommended).
Developer-Oriented Repository Requirements
Submission guidelines list must-haves such as README, pyproject.toml, organized folder structure, demo app or notebook, config file, and CLI support to ensure repos are developer-ready.
Wide Range of Domains
Examples span many domains and approaches including WASM agents, Whisper-based STT adjustments, federated finetuning, synthetic audio detection, object detection, segmentation, and LLM evaluation.
Submission & Template Support
Guidance for contributors includes a GitHub template repo, suggested docs tooling (mkdocs), and optional artifacts like Dockerfiles, Colab notebooks, and PyPI packages.
Pricing
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Use Cases
Transcribing Audio with Open-Source Models
Blueprints include examples such as 'Transcribe Audio Files with Open-Source Whisper Models' that show how to run transcription pipelines and self-hosted APIs.
Finetuning and Federated Learning
Blueprints show how to finetune models, including a 'Finetune an LLM using Federated AI' example demonstrating federated approaches with Flower.
Detecting Synthetic or Modified Audio
A Blueprint titled 'Train a model for synthetic audio detection' guides building a model to detect synthetic/modified audio.
Running Agents in the Browser
The 'WASM Agents' Blueprint demonstrates running AI agents in-browser via Pyodide and the OpenAI Agents Python SDK.
Parsing Documents with LLMs and OCR
The 'LLM Document Parser' Blueprint provides a pipeline for extracting structured data from scanned or digital documents using OCR and LLMs.
Integrations
Pyodide + OpenAI Agents Python SDK
Used in the 'WASM Agents' Blueprint to run agents in the browser via WebAssembly.
Open-Source Whisper Models / Speaches
Referenced for transcription Blueprints; mentions a self-hosted server (Speaches) that mimics the OpenAI Whisper API.
Flower (Federated Learning)
Referenced in the 'Finetune an LLM using Federated AI' Blueprint to enable federated training on private datasets.
Docling CLI
Used in the 'Convert documents to markdown format' Blueprint to convert unstructured documents to Markdown.
Demo frameworks (Streamlit, Gradio, Jupyter, Docker, PyPI, Google Colab)
Blueprints recommend demo apps using Streamlit/Gradio or notebooks; nice-to-haves include Dockerfiles, PyPI packages, and Colab options.
Benefits
Limitations
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Frequently Asked Questions
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Getting Started
- 1 Browse the Blueprints catalog to find an example that matches your task (speech-to-text, OCR, finetuning, agents, etc.).
- 2 Open the Blueprint repository and read the README and provided demo app or notebook to understand the pipeline and dependencies.
- 3 Use the provided config file or CLI support to customize and run the demo locally (many Blueprints include demo apps or Jupyter notebooks).
- 4 If you want to contribute, follow the submission guidelines and submit your Blueprint idea or repo via the site’s submission flow.
Support
Docs
Guidelines and requirements for creating Blueprints (must-haves and nice-to-haves) are provided on the site.
Submit / Feedback
The site provides a 'Submit a Blueprint' flow and a 'Submit an idea' mechanism for sharing blueprint ideas or feedback.
Newsletter
Users can subscribe to get new Blueprints in their inbox ('Get new Blueprints in your inbox').
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