blueprints

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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One of 148 tools in Developer Tools
Added 10 months ago
Data reviewed Jul 16, 2026

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Quick Overview

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What it does

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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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Key Features

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

Current pricing details are not available from the vendor source.

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

Speeds up prototyping by providing ready-made, runnable templates and demos across common AI tasks
Encourages reproducibility and best practices through required repo structure, READMEs, and demo apps
Supports open-source tooling and interoperability by emphasizing open-source models, tools, and common demo formats (Streamlit/Gradio, notebooks)

Limitations

No verified limitations are available.

Frequently Asked Questions

No verified FAQs are available.

Getting Started

  1. 1 Browse the Blueprints catalog to find an example that matches your task (speech-to-text, OCR, finetuning, agents, etc.).
  2. 2 Open the Blueprint repository and read the README and provided demo app or notebook to understand the pipeline and dependencies.
  3. 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. 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').

API

Available: No

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