instagram post generator

I have built this template generator for social media platforms Users need to provide their input and this will generate their template and return them the image files

Comment

Inspiration

Creating on-the-fly images for social media marketing often involves repetitive, manual design work. We wanted a declarative way—using JSON—to define layouts, text, and graphics so that developers could automate the generation of Instagram posts, banners, and other assets without touching a design tool .

What it does

the image_template package provides:

  • JSON-based DSL for defining image compositions (text, shapes, images).
  • Rendering engine in Python that uses Pillow to produce high-resolution outputs.
  • CLI tool for batch processing or single-template rendering.
  • Caching of fonts and external assets for performance.
  • Extensible component registry, so you can plug in your own shapes or behaviors (github.com).

How we built it

  • Language & Libraries: Python 3.8+, Pillow for image ops, Pydantic (or built-in validation) for JSON schema enforcement, Click for the CLI.
  • Architecture: A TemplateEngine core loads a JSON template, resolves variables, and dispatches each component (text, image, rectangle, etc.) to a registry of renderer classes.
  • Packaging: Standard Python package layout with setup.py/pyproject.toml, requirements.txt, and entry-points for dolze-templates CLI.
  • Examples & Docs: Ship ready-to-use templates under examples/, plus shapes.md for built-in vector definitions (github.com).

Challenges we ran into

  • Text wrapping & alignment: Measuring and fitting variable-length copy into fixed regions without overflow.
  • Font management: Loading, caching, and fallback of custom fonts across different OS environments.
  • Performance: Balancing high-resolution output with acceptable render times and memory usage.
  • Extensibility: Designing a component API flexible enough for custom shapes or behaviors, yet simple for end users to extend.

Accomplishments that we’re proud of

  • Delivered a fully-featured JSON DSL that non-designers can use to create professional assets.
  • Built a robust CLI supporting single and recursive directory rendering.
  • Achieved high test coverage across components, ensuring reliability under diverse inputs.
  • Established a plugin/hook system so users can inject pre- and post-render logic (github.com).

What we learned

  • Deep insights into Pillow’s text metrics and performance characteristics.
  • Best practices in JSON schema design for user-friendly, self-documenting templates.
  • Techniques for asset caching to speed up repeated renderings.
  • How to structure a plugin architecture in Python for maximum flexibility.

What’s next for Instagram post generator

  • Instagram Story & Reel templates with aspect-ratio presets and story stickers.
  • Animated outputs (GIFs/MP4s) for motion posts.
  • Integration with Instagram’s Graph API for direct upload and scheduling.
  • A web UI/dashboard for non-technical users to select templates, edit copy, and preview assets.
  • AI-powered copy suggestions and image recommendations to streamline content creation.

Built With

Share this project:

Updates