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Description
GLM-OCR is an advanced multimodal optical character recognition system and an open-source framework that excels in delivering precise, efficient, and thorough document comprehension by integrating textual and visual elements within a cohesive encoder-decoder design inspired by the GLM-V series. This model features a visual encoder that has been pre-trained on extensive image-text datasets alongside a streamlined cross-modal connector that channels information into a GLM-0.5B language decoder. It offers capabilities for layout detection, simultaneous recognition of various regions, and structured outputs for diverse content types, including text, tables, formulas, and intricate real-world document formats. Furthermore, it employs Multi-Token Prediction (MTP) loss and robust full-task reinforcement learning techniques to enhance training efficiency, boost recognition accuracy, and improve generalization across various tasks, leading to remarkable performance on significant document understanding challenges. This innovative approach not only sets new benchmarks but also opens up possibilities for further advancements in the field of document analysis.
Description
Effortless receipt transcription that truly delivers. Receipt OCR technology is designed to analyze images of receipts and convert them into organized and comprehensible data that can be utilized by other applications. This data typically encompasses elements such as the total sum, tax details, date of purchase, and the merchant's name. The RESTful API provided by TAGGUN is developer-friendly and supports various formats including JPG, PDF, PNG, GIF, and file URLs. It recognizes the language printed on the receipt and transforms the image into straightforward raw text. Leveraging top-tier OCR engines, the system employs machine learning algorithms to identify essential keywords found on the receipt. The TAGGUN engine effectively extracts vital information from the raw text, while also calculating the confidence level for each field to ensure precision. Results are returned in a detailed JSON format, making it easy for your application to utilize the information seamlessly, thereby enhancing the user experience. Moreover, this innovative approach streamlines the entire process of receipt management and makes data handling more efficient.
API Access
Has API
API Access
Has API
Integrations
No details available.
Integrations
No details available.
Pricing Details
Free
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Z.ai
Founded
2019
Country
China
Website
github.com/zai-org/GLM-OCR
Vendor Details
Company Name
Taggun
Founded
2017
Country
New Zealand
Website
www.taggun.io
Product Features
Product Features
Expense Report
Approval Process Control
Invoice Management
Multi-Currency
Receipt Management
Reimbursement Management
Spend Control
Time Tracking
Workflow Management
OCR
Batch Processing
Convert to PDF
ID Scanning
Image Pre-processing
Indexing
Metadata Extraction
Multi-Language
Multiple Output Formats
Text Editor
Zone Selection Tool