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About

DeepTagger is a no-code, AI-powered document processing platform that turns any documents (PDFs, images, Word, etc.) into structured, usable data through an intuitive “highlight-and-label” interface. You upload your files; highlight the pieces of data you care about; train the model via examples rather than templates; then run predictions, export results, and refine accuracy. It handles complex/nested structures (e.g., line items within invoices, tables within tables), supports scanned documents and low-quality images via strong OCR, and offers features like splitting multi-document PDFs, intent/context understanding, and position-aware extraction (so if the same phrase appears many times, DeepTagger can distinguish which instance to pull). Pricing is usage-based with a free tier processing up to 200 documents; higher tiers unlock features like batch prediction, nested schemas, priority support, multi-tenant architecture, and enterprise-grade compliance.

About

Let's face it, writing MongoDB validation, casting and business logic boilerplate is a drag. That's why we wrote Mongoose. Now say we like fuzzy kittens and want to record every kitten we ever meet in MongoDB. The first thing we need to do is include mongoose in our project and open a connection to the test database on our locally running instance of MongoDB. We have a pending connection to the test database running on localhost. We now need to get notified if we connect successfully or if a connection error occurs. Mongoose documents represent a one-to-one mapping to documents as stored in MongoDB. Each document is an instance of its Model. Subdocuments are documents embedded in other documents. In Mongoose, this means you can nest schemas in other schemas. Mongoose has two distinct notions of subdocuments: arrays of subdocuments and single nested subdocuments.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Businesses, legal/finance teams, operations groups, and anyone seeking a tool to extract key data reliably without hiring engineers to build custom document extraction pipelines

Audience

Developers searching for a Database Management platform

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

DeepTagger
United States
deeptagger.com

Company Information

Mongoose
United States
mongoosejs.com

Alternatives

Alternatives

Moon Modeler

Moon Modeler

Ideamerit
PDF.co

PDF.co

ByteScout

Categories

Categories

Integrations

Dash
Microsoft Word
MongoDB
ShipFast
StarfishETL

Integrations

Dash
Microsoft Word
MongoDB
ShipFast
StarfishETL
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