Scrawl AI
Homework solver that outputs in your handwriting
Scrawl AI lets you photograph homework, solve it with AI, and download the answers as a handwritten PDF in your own handwriting. The only app that both solves and renders hand-drawn graphs, circuit diagrams, plots, and matrices directly into the output.
Features
- Hand-drawn diagrams, graphs, plots, and matrices in handwritten output
- Custom handwriting from your real handwriting or preset fonts
- Natural variation (rotation, baseline drift) makes every page unique
- Graduate-level accuracy powered by Claude Opus 4.6
- 50+ subjects from calculus to electrical engineering
- Full document solves, not just single questions
- Available on iOS and web
Use Cases
- Submit handwritten homework without writing it by hand
- Solve STEM problem sets with accurate step-by-step solutions
- Get circuit diagrams and graphs rendered in handwriting style
- Use your own handwriting font for authentic-looking submissions
- Solve entire assignments in one upload
Comments
I’ve been using Scrawl AI for a bit now, and it’s honestly a game-changer for homework. You just snap a photo of the problem, and it not only solves it but gives you the answer in your own handwriting—which feels surprisingly natural and super convenient. What really stood out to me is how it handles graphs and diagrams; they actually look hand-drawn and clear, not like some clunky digital output. It saves a ton of time while still making your work look neat and personal. Definitely worth trying, especially if you want something that blends AI help with a more authentic feel.
Digitizing handwritten notes has always been a bottleneck for productivity, and Scrawl AI seems to offer a very practical solution in this space. I’m particularly interested in its ability to handle unstructured drafts. If the recognition accuracy and conversion speed live up to the promise, it will be a massive efficiency booster for those of us who still prefer handwriting. I haven't had the chance to do a deep dive yet, but the core value proposition is spot on. Definitely one to watch.
I built Scrawl AI because I was frustrated that AI could solve my homework but couldn't produce output I could actually turn in. ChatGPT gives you typed text. Handwriting converters just swap fonts. Nothing did both. The hardest part was the rendering engine. Getting LaTeX-generated math, circuit diagrams, and graphs to look handwritten required building a glyph compositing pipeline from scratch. Every character gets natural variation in rotation and position so no two pages look the same. I'm a CS student at Johns Hopkins and this is a solo project. Would love feedback on the output quality or feature ideas.
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Comments
I’ve been using Scrawl AI for a bit now, and it’s honestly a game-changer for homework. You just snap a photo of the problem, and it not only solves it but gives you the answer in your own handwriting—which feels surprisingly natural and super convenient. What really stood out to me is how it handles graphs and diagrams; they actually look hand-drawn and clear, not like some clunky digital output. It saves a ton of time while still making your work look neat and personal. Definitely worth trying, especially if you want something that blends AI help with a more authentic feel.
Digitizing handwritten notes has always been a bottleneck for productivity, and Scrawl AI seems to offer a very practical solution in this space. I’m particularly interested in its ability to handle unstructured drafts. If the recognition accuracy and conversion speed live up to the promise, it will be a massive efficiency booster for those of us who still prefer handwriting. I haven't had the chance to do a deep dive yet, but the core value proposition is spot on. Definitely one to watch.
I built Scrawl AI because I was frustrated that AI could solve my homework but couldn't produce output I could actually turn in. ChatGPT gives you typed text. Handwriting converters just swap fonts. Nothing did both. The hardest part was the rendering engine. Getting LaTeX-generated math, circuit diagrams, and graphs to look handwritten required building a glyph compositing pipeline from scratch. Every character gets natural variation in rotation and position so no two pages look the same. I'm a CS student at Johns Hopkins and this is a solo project. Would love feedback on the output quality or feature ideas.
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