
DocParser
DocuClipper
Docsumo
Rossum
Parseur.com
Mindee
Parsio.io
Worlds best image recognition, object detection and OCR APIs. NanoNets’ platform makes it straightforward and fast to create highly accurate Deep Learning models.

Metabase
Luzmo
Tableau
Microsoft Power BI
Looker
Sisense
Vizzly
The toolkit for building fast, interactive, fully-custom analytics experiences into your app.

Which is more popular?
Based on our record, Nanonets should be more popular than Embeddable. It has been mentioned 6 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | nanonets.com | embeddable.com |
| Pricing | ||
| Platforms | — | |
| Company | 2017 | Startup from the United Kingdom · 20 - 49 employees · 2023 |
| Listed in |
In their own words, as submitted to SaaSHub.


NanoNets is a Deep Learning web platform that makes it easier than ever before to use Deep Learning in practical applications. It combines the convenience of a web-based platform with Deep Learning models to create image recognition and object classification applications for your business. You...
Build Remarkable Analytics Experiences. No more 'Build vs. Buy'. Embeddable is the embedded analytics tool where you own the front-end code and we handle everything else. Now you can build fully-bespoke, fast-loading charts and dashboards in your app without the engineering costs. Delight...
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
Nanonets is particularly recommended for businesses of all sizes that deal with large volumes of documents and require efficient data extraction and automation. Industries like finance, healthcare, logistics, and retail, which often handle invoices, forms, and contracts, can benefit significantly. It's also suitable for developers looking for an API solution to integrate OCR capabilities into their own applications.
No analysis of Embeddable yet.
Walkthroughs and reviews on video.
Nanonets Airtable Walkthrough
No Embeddable videos yet. You could help us improve this page by suggesting one.
How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing Nanonets and Embeddable.
Embeddable's answer:
Software companies who care about the UX and loading speed of their customer-facing analytics.
Embeddable's answer:
Get the best of 'Build vs. Buy' in one stack-agnostic solution. Embeddable gives you full control over the frontend of your analytics experience, and handles the backend for you. No longer do you have to choose between a limited out-of-the-box solution, or building everything from scratch.
Embeddable's answer:
Embeddable is from the team behind Trevor.io -- a popular internal BI tool which also allows you to embed dashboards into your app. We realised embedding dashboards from a BI tool into your app wasn't the 'dream solution', and building analytics from scratch was super expensive... so we built Embeddable from the ground up to enable teams to deliver fully-bespoke, highly-performant analytics in their apps for their customers in 10% of the time.
Embeddable's answer:
Embeddable's answer:
If you want full control over the UX of your customer-facing analytics experience, but don't want to invest months of developer time on building and maintaining a fully-custom build -- OR -- if you're using an embedded analytics too already that loads slowly and doesn't look and feel like the rest of your platform.
Share your experience with using Nanonets and Embeddable. For example, how are they different and which one is better?
External articles and on-site reviews we used to compare the two products.


DocuClipper wins stay-for-statements. DocuPipe wins switch-to-API/multi-doc. Docsumo and Nanonets are fair sponsored peers when financial-doc depth or workflow automation matters more than DocuPipe’s DX-first default....
It depends on the path. One clean digital PDF: careful table extract plus math checks. Stable few vendors: DIY or no-code rules. Many vendors, scans, or product pipelines: a managed API--on OCRRank, DocuPipe is the...
The choice depends on the specific workload. For raw text from images, open-source engines like Tesseract or PaddleOCR remain free and capable. For turning documents into structured data such as fields, tables, and...
After a successful, oversubscribed Private Beta, Embeddable is now publicly available. More information on how to work with Embeddable can be found on their homepage at embeddable.com. Get in touch with the Embeddable...
The main differences between Power BI Embedded and Embeddable are performance, price, and customizability. Embeddable gives you full control over your charting components and data models. It’s also built from the...
I’m happy to say that we’ve enrolled in the beta program of Embeddable. After learning all the above it seems like this is the option we’d want to invest in. We’ll keep you posted on how this pans out, but we’re...
Recommendations tracked on public social media and blogs since March 2021.


Want to automate repetitive manual tasks? Check our Nanonets workflow-based document processing software. Source: over 4 years ago
Nanonets is a no-code, workflow-based, and AI-enhanced intelligent document processing platform. It automates all document processes and is built on a robust, intelligent, self-learning OCR API that allows users to extract required data... Source: over 4 years ago
Check out our website here https://nanonets.com/ for more. We also have some free tools where you can experience our product for free (like https://nanonets.com/online-ocr). Source: over 4 years ago
Then comes data modeling. BI tools such as Embeddable need to know how different tables and fields relate to each other. Someone has to define what terms like “top customer” or “Q3 revenue” actually mean. Without this, the AI won't know... - Source: dev.to / over 1 year ago
It’s still pretty new but build by an experienced team. It’s commercial software though. https://embeddable.com/. - Source: Hacker News / over 2 years ago
When comparing Nanonets and Embeddable, you can also consider the following products.

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.
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Metabase is the easy, open source way for everyone in your company to ask questions and learn from...
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Automate data extraction from bank statements, invoices, tax forms and more.
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From data to decisions, damn fast. Embed beautiful, easy-to-use dashboards in your SaaS product in days, not months.
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Extract Data from Unstructured Documents - Easily. Efficiently. Accurately.
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Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.
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