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100% local, zero uploads. Process millions of rows entirely in your browser. The ultimate privacy-first toolkit for CSV, ecommerce, and marketing data.

Which is more popular?
Based on our record, Sejda seems to be more popular. It has been mentioned 6 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | sejda.com | dataprep.dev |
| Pricing | ||
| Platforms | — | |
| Company | — | Startup from the United States · 1 - 9 employees · 2026 |
| Listed in |
In their own words, as submitted to SaaSHub.


No description of Sejda yet.
The Browser Data Toolkit for Privacy-Conscious Professionals dataprep.dev is a 100% local, pure-browser data processing engine designed to solve the biggest headaches in data preparation: Excel crashes and privacy risks. Powered by cutting-edge DuckDB-Wasm technology, our toolkit brings...
What each product offers, as listed by its team.


Possible disadvantages
An editorial look at what each product does well and who it suits.


Overall verdict
Why this product is good
Recommended for
No analysis of dataprep.dev yet.
Walkthroughs and reviews on video.
Sejda PDF Editor Tutorial
More videos
Instant SQL on CSV in Browser (DuckDB-Wasm) - Zero Uploads
How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing Sejda and dataprep.dev.
dataprep.dev's answer:
I was trying to clean up a massive, messy Shopify order export. Excel kept freezing, and I absolutely refused to upload sensitive customer emails to random online converters. I got so frustrated that I decided to stop complaining and build a local-first toolkit to solve my own workflow nightmare.
dataprep.dev's answer:
1, Indie hackers and solo founders. 2, Boutique digital marketing agencies. 3, Privacy-conscious data freelancers.
dataprep.dev's answer:
Most data tools force you to upload your CSVs to their servers. We don't. We compiled DuckDB into WebAssembly, meaning you get a blazing-fast, database-level engine running entirely inside your local browser tab. It's 100% private and works instantly.
dataprep.dev's answer:
If you try to open a 2GB CSV in Excel, it freezes and crashes. If you use Python Pandas, you have to write code and manage environments. dataprep.dev gives you the power of code (SQL queries, regex, merging 50 files) with a simple drag-and-drop UI, without ever freezing your computer.
dataprep.dev's answer:
E-commerce sellers flattening messy Shopify exports, performance marketers cleaning ad reports, and data analysts who need to anonymize PII (GDPR compliance) before feeding datasets to AI models like ChatGPT.
dataprep.dev's answer:
DuckDB-Wasm is the core data engine handling the heavy lifting. The frontend is built with React/Next.js and styled with Tailwind CSS. It's a modern, serverless architecture.
Share your experience with using Sejda and dataprep.dev. For example, how are they different and which one is better?
External articles and on-site reviews we used to compare the two products.


Choose Sejda when you need to edit existing PDF text and its free limits are sufficient.
Sejda PDF Editor is one of the very few PDF editors that actually lets you edit pre-existing text in the PDF without adding a watermark. Most editors only let you change the text you add yourself, or they support text...
Answer: You can use Sejda to convert a PDF to Word without Adobe. On Sejda, you can convert documents of any file format to another in a few clicks easily.
We have no reviews of dataprep.dev yet. Be the first one to post
Recommendations tracked on public social media and blogs since March 2021.


This is a week late, but through the FreeMediaHeckYeah sub, I was able to discover sejda.com , which is basically an (almost) all-in-one PDF editor website. Was neat to realize I didn't even have to download any software whatsoever. Source: over 3 years ago
Sejda.com - By far my most favorite experience but limits you to a # of docs per day. Source: about 4 years ago
Might try sejda.com. Also as u/jakethepeg111 suggests, Libreoffice Draw could be an option. Source: about 4 years ago
Tracking dataprep.dev since Jul 2026.
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