Parsely Studio

No Code, No Deployments. Ship your OCR solution in minutes.

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Hey Product Hunt! :wave: Thanks for checking out Parsely Studio. This started because we were honestly tired of rebuilding the same OCR pipeline over and over. A customer would send one invoice format, we'd spend days getting it right, and then the next week they'd send a completely different document. :triumph: Back to regex, edge cases, and debugging. Initially, we thought the problem was OCR accuracy. But after working with hundreds of documents, we realized OCR was only one piece of the puzzle. The real challenge was everything around it—preprocessing, validation, normalization, field mapping, and maintaining custom logic for every new document. So instead of building another parser, we built Parsely Studio: a visual way to create document extraction pipelines and expose them as production-ready APIs. One of the features we're most excited about is AI pipeline generation. Instead of dragging nodes around, you can upload a sample document and simply describe what you want to extract. The AI generates the pipeline, configures the extraction, and gets you most of the way there. We're still investing heavily in this. Our goal is to make it simple enough that even someone with no technical background can build and deploy document extraction workflows without worrying about OCR engines, prompts, or pipeline logic. We'd genuinely love your feedback. If there's a document that's been a nightmare to extract data from, drop it in the comments. We'd love to build a demo for it.