Alli Capture makes data entry for invoice processing easy and fast.
Alli converts documents of any formats into digital text that can be easily read and manipulated.
Start right from day one with easy-to-use no-code/low-code programming options.
Easily improve extraction accuracy and build the optimal AI model for your needs by simply modifying extraction results and teaching the AI additional information with the push of a button.
Easily extract the desired items from the management screen without any AI knowledge required.
AI can accurately read the corresponding information of extracted items since it reads their meaning and intention.
You have the ability to group multiple labels from anywhere on the extracted document that are related to each other and filter as desired.
You can easily improve extraction accuracy by teaching the AI to relearn the corrections with a single button click.
Extracted results can be exported in any format that you need e.g. CSV or XLSX
Add or remove information with just one click from the preview screen, improving the efficiency of manual reviews
Automatically extract accounting-required information such as "date", "amount", and "payee" from invoices, significantly reducing the man-hours required for monthly accounting preparation.
"Fuel type" and "transmission technology" are automatically extracted from the energy reports received from providers and/or suppliers/vendors to determine what the emission factors are for GHG calculations.
Yes! We are conducting a demo in the form of an online conference. It is possible to check the operation feeling and the accuracy of extraction. We will adjust the schedule of the demo, so please contact us from the inquiry form.
Yes. It is possible. AI understands the meaning and intention and judges the relevant information, so highly accurate extraction is possible.
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Lorem ipsum dolor sit amet, consectetur adipiscing elit id venenatis pretium risus euismod dictum egestas orci netus feugiat ut egestas ut sagittis tincidunt phasellus elit etiam cursus orci in. Id sed montes.
Lorem ipsum dolor sit amet, consectetur adipiscing elit id venenatis pretium risus euismod dictum egestas orci netus feugiat ut egestas ut sagittis tincidunt phasellus elit etiam cursus orci in. Id sed montes.
