Makerkit.dev
ShipFa.st
supastarter
Nexty.dev
MkSaaS
SaaSykit
StarterKitPro
Next SaaS Starter
DocParser
Nanonets
Parseur.com
Rossum
Docsumo
FlexiCapture
Amazon Textract
Parsio.io
Makerkit is a production-ready SaaS starter kit built with Next.js App Router and Supabase that helps developers launch faster.
It provides a robust foundation with built-in authentication, team management, billing integration, and Super Admin - all powered by a modular architecture that makes customization and maintenance a breeze.
Whether you're building a B2B or B2C application, Makerkit handles the complex infrastructure so you can focus on building your product's unique features using modern tools like TypeScript, React, and Tailwind CSS.
Makerkit.dev
DocParserNo Makerkit.dev videos yet. You could help us improve this page by suggesting one.
Makerkit.dev's answer
Indie Hackers and Companies who want to launch quickly, without compromising on quality.
Makerkit.dev's answer
Makerkit uses Next.js 15 (App Router), Supabase, React.js, Typescript and Stripe.
Makerkit.dev's answer
Makerkit stands out by offering a truly modular architecture built with Turborepo, where core features like auth, billing, and notifications live in their own packages for better maintainability.
While most starters lock you into specific patterns or providers, Makerkit gives you flexibility with a multi-account system supporting both B2B and B2C scenarios, provider-agnostic billing, and edge-ready deployment options.
Beyond the basics, it includes production-ready features like multi-factor auth, real-time notifications, and team permissions - all built with Supabase, TypeScript, React Query, and modern tooling to make development a genuine pleasure.
Makerkit.dev's answer
While other starters give you basic auth and a dashboard, Makerkit provides a genuinely modular foundation with the real features SaaS products need - like multi-factor auth, team permissions, real-time notifications, and provider-agnostic billing, all organized in clean, maintainable packages using Turborepo.
You get a first-class developer experience with TypeScript, React Query, and modern tooling, plus the flexibility to support both B2B and B2C scenarios, different payment providers, and edge deployment options.
Best of all, Makerkit is actively maintained with regular updates and responsive support, so you're building on a foundation that grows with your needs rather than painting yourself into a corner.
Based on our record, DocParser should be more popular than Makerkit.dev. It has been mentiond 14 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Price: $299 (Pro, individual) / $599 (Teams, 5 collaborators) - one-time, lifetime access URL: makerkit.dev. - Source: dev.to / 3 months ago
I saw these ones mentioned in an HN comment: - https://achromatic.dev - https://makerkit.dev - https://www.spirokit.com/ - https://saasykit.com/. - Source: Hacker News / over 1 year ago
You could try an online service like https://extract-io.web.app/ or https://docparser.com/. Source: about 3 years ago
DocParser: DocParser simplifies the extraction of structured data from various file formats, such as PDFs and scanned documents, directly into Google Sheets. By automating this process, DocParser saves valuable time and effort otherwise spent on manual data entry. Link to DocParser. Source: about 3 years ago
There are several tools available today that can help you extract tables from PDF files (such as Tabula), or even parse PDFs into structured JSON using AI (like Parsio -> I'm the founder) or without AI (like Docparser). Source: over 3 years ago
Thank you for sharing those! I didn't know them I've only checked this one https://docparser.com/ and I think my solution could be better because it will be easier for the user. Source: over 3 years ago
As previously suggested, if the layout of your PDFs never changes (consistent column widths in tables and placement), you can use a zonal PDF parser like DocParser. Alternatively, an AI-powered parser may be a better choice. Source: over 3 years ago
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