
Nanonets
Parseur.com
Docsumo
Rossum
DocuClipper
FlexiCapture
Parsio.io
Extract data from PDF files & automate your workflow with our reliable document parsing software. Convert PDF files to Excel, JSON or update apps with webhooks.

Lovable
Floot
Getting MEAN with MEMEs
BASE44
Supabase
Convex.dev
HTML and CSS: Interactive Projects
Create production-ready applications with zero code

Which is more popular?
Based on our record, DocParser seems to be more popular. It has been mentioned 14 times since March 2021.
Website, pricing, platforms and company facts side by side.
|
|
|
|
|---|---|---|
| Website | docparser.com | modelence.com |
| Pricing | ||
| Company | — | Startup from the United States · 1 - 9 employees |
| Listed in |
In their own words, as submitted to SaaSHub.


No description of DocParser yet.
Modelence is a no-code app builder that helps you build real, production-ready web apps (not prototypes) with everything you need to go live by default. It lets users build complete web applications with built-in authentication, database, and monitoring - all in one platform. Powered by its own...
What each product offers, as listed by its team.


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


No analysis of DocParser yet.
Overall verdict
Why this product is good
Recommended for
Walkthroughs and reviews on video.
Extract Tables From PDF to Excel, CSV or Google Sheet with Docparser
More videos
Modelence App Builder Demo
How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing DocParser and Modelence.
Modelence's answer:
TypeScript and MongoDB as the core stack, built on Modelence's own open-source full-stack framework. The AI App Builder layer handles prompt-to-app generation on top of this foundation.
Modelence's answer:
Compared to Lovable, Replit, or Base44, Modelence gives you production-grade apps (not throwaway prototypes), a fully open-source codebase you can eject and self-host anytime, and a streamlined no-code experience backed by a robust full-stack framework.
Modelence's answer:
Non-technical founders, solo entrepreneurs, and small teams who need to ship real software products quickly - without hiring a dev team or learning to code. Also appeals to technical users who want to accelerate app development with AI while retaining full code access.
Modelence's answer:
Modelence builds real, production-ready apps from prompts - not just prototypes. Unlike other AI app builders, it's powered by an open-source TypeScript/MongoDB framework, so you get full code ownership and no vendor lock-in.
Share your experience with using DocParser and Modelence. For example, how are they different and which one is better?
Recommendations tracked on public social media and blogs since March 2021.


You could try an online service like https://extract-io.web.app/ or https://docparser.com/. Source: over 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... Source: over 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
Tracking Modelence since Mar 2026.
When comparing DocParser and Modelence, you can also consider the following products.

Worlds best image recognition, object detection and OCR APIs. NanoNets’ platform makes it straightforward and fast to create highly accurate Deep Learning models.
Compare Nanonets to DocParser or Modelence:


Automate text extraction from emails and PDFs by using our powerful email and document parser.
Compare Parseur.com to DocParser or Modelence:


Extract Data from Unstructured Documents - Easily. Efficiently. Accurately.
Compare Docsumo to DocParser or Modelence:
Deploying MEAN TODO application to production
Compare Getting MEAN with MEMEs to DocParser or Modelence: