Yes, Magic Invoice incorporates an advanced feature known as Doc Split, allowing it to intelligently detect and separate multiple invoices contained within a single PDF file. This functionality is designed to enhance efficiency by automatically suggesting the appropriate split for PDFs with multiple invoices. The users can then review and confirm the suggested split before finalizing and submitting the transactions.
Yes, Magic Invoice is compatible with any ERP via API Integration, Flat Files or CSV Files
Our AI models are template-agnostic thereby eliminating the need for training even when used for the first time. The models have undergone training on millions of invoices spanning various industries and the system is designed to capture data accurately without prior training.
Currently we are supporting 3 countries- India, US and UK along with their respective currencies and taxes
No. It is tailored for Mid to Large Enterprises with a minimum invoice volume of 50K.
No, currently Magic Invoice does not support hand-written invoices.
Magic Invoice is the world's first NO TOUCH automated invoice processing system powered by Doc2API, Intellect’s intelligent document processing platform.
Magic Invoice is built on CDR Graph TechnologyTM that ensures variation and complexity handling across Invoice Processing with complete ease. It’s Email2ERP Processing TechnologyTM delivers a complete AI, NLP & ML enabled cognitive solution - learning, adapting & integrating seamlessly with existing technology ecosystems, making the experience magical.
Yes you can set the accuracy levels based on your requirements. For example if address details is not an important field, you can make that an exception and set the accuracy levels to be 100% for quantity and price.
We train our models on thousands of invoices. If you predominantly use a particular set of invoices then we can customize / benchmark our ai model as per your requirements.
Magic Invoice is API based and can be seamlessly integrated with any application.
Magic Invoice encrypts data at rest like files, images etc using AWS KMS Encryption. Data in motion is encrypted using TLS. Extraction Data stored is encrypted using AWS KMS Key based on the PII field configuration.
Yes, customized confidence threshold levels can be set between 0-100, based on your requirements.