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Documentation automation

Access to a library of existing models with a fixed set of data points
Model extension with additional data points
-
Validation workflow in the UI
Number of documents
20 documents max
Consistency and validation checks
Standard
Output format
Standard

Deployment & Integration

Type of deployment
Hosted

Support & Maintenance

Support
Basic support : online documentation & email
Models maintenance & updates
Regular
Advanced
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Documentation automation

Access to a library of existing models with a fixed set of data points
Model extension with additional data points
-
Validation workflow in the UI
Number of documents
Predefined and transparent - depending on model
Consistency and validation checks
Standard
Output format
Standard

Deployment & Integration

Type of deployment
Hosted or on-prem

Support & Maintenance

Support
Standard support : email, phone and online
Models maintenance & updates
Regular
Enterprise
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Documentation automation

Access to a library of existing models with a fixed set of data points
Model extension with additional data points
Validation workflow in the UI
Number of documents
Predefined and transparent - depending on model
Consistency and validation checks
Custom
Output format
Custom

Deployment & Integration

Type of deployment
Hosted or on-prem

Support & Maintenance

Support
Premium support: email, phone, online and in-person
Models maintenance & updates
Continuous

Documentation automation

Access to a library of existing models with a fixed set of data points
Model extension with additional data points
-
-
Validation workflow in the UI
Number of documents
20 documents max
Predefined and transparent - depending on model
Predefined and transparent - depending on model
Consistency and validation checks
Standard
Standard
Custom
Output format
Standard
Standard
Custom

Deployment & Integration

Type of deployment
Hosted
Hosted
Hosted or on-prem

Support & Maintenance

Support
Basic support : online documentation & email
Standard support : email, phone and online
Premium support: email, phone, online and in-person
Models maintenance & updates
Regular
Regular
Continuous

FAQ

Which languages does the solution handle?
Technically our platform supports any language. By default, our models have been trained on Latin languages (English of course, French, German, etc.).
Can you process automatically complex tables?
Absolutely - this is actually what the system has been designed for. We are able to understand the context of a table in a document (footnotes, units, currency, etc.) as well as recognise accurately aggregations or sub-totals for example.
Do you handle checkboxes?
Yes - we can recognise whether a checkbox is ticked or not and integrate the result in our processing.
Which output format do you support?
We can produce JSON or XML as well as simpler CSV files.
Where can this be deployed?
The solution can either be hosted by us on a public cloud (currently AWS and Azure, with others current in the pipeline - there are no dependencies on any of the cloud providers’ infrastructure in the code) or deployed “on-prem” (client’s datacenter or hybrid cloud). This really depends on the client’s confidentiality and security constraints: documents that are publicly available can be processed on the cloud, while for documents that are confidential and cannot leave the client’s premises, we can deploy the solution “locally”.
Do you store documents and processing results?
We only store data during the processing and shortly after so you can access results directly, but we do not provide long term storage capabilities, and we usually purge all data every 12 or 24h for example.
Can I train the models myself?
(Currently at least) no: the set of programmatic supervision techniques that we use are not client-facing yet, however they allow us to update, adjust and re-train models extremely quickly and efficiently.
Does the model learn by itself?
Yes - we capture every modification or adjustment made manually to the results and use this information to either improve our internal classifiers or re-train the model itself.
Can you handle low resolution or poor quality scans?
We can accurately handle and extract information from low resolution images (to a certain extent of course, if the image is so bad it cannot be read by a human then there is not much we can do) using various techniques such as rotation correction for example. We also make adjustments at the document level (classification, reordering, sorting into folders) in order to streamline the entire process.