What is HyperScience Intelligent Document Processing?
HyperScience Intelligent Document Processing’s website describes it as: "Our Intelligent Document Processing (IDP) is the only solution with a ML-powered core for automating document processing. Automate your workflow today."
HyperScience’s Headquarters
HyperScience’s Capabilities
Some frequently asked questions about HyperScience Intelligent Document Processing
- Does HyperScience Intelligent Document Processing have: Table Recognition and Extraction? Yes!Identify tables within a document and correctly format and extract the data it contains
- Does HyperScience Intelligent Document Processing have: AI/Machine Learning? Yes!Implements artificial intelligence or machine learning technology to improve or automate processes
- Does HyperScience Intelligent Document Processing have: Zoning Templates? Yes!Save scanning zones as templates for varying document types.
- Does HyperScience Intelligent Document Processing have: Handwriting Recognition? Yes!Able to scan, learn, and recognize real handwriting
- Does HyperScience Intelligent Document Processing have: Specify Recognition? Yes!Perform character recognition only on selected pages or areas
Founded
?
Est. Annual Revenue
Employees
?
LinkedIn
N/A
Twitter
N/A
Crunchbase
N/A
One tool. All the data.
The world's first software evaluation and consolidation engine.
Evaluating HyperScience Intelligent Document Processing with Clearfind
A clear and effortless decision framework
1.
Minutes
Share your software goals and we’ll do the heavy lifting analyzing your options.
2.
Minutes
Kickoff your evaluation and quickly cross-reference functionality between tools using our pre-defined features for every product.
3.
Minutes
Clearfind sends easy assessments to measure usage, satisfaction, and criticality.
4.
Instantly
No more failed software projects due to lack of consensus. Capabilities, user feedback, and budget neatly reported in pdf format. Simplify approval using transparent, objective data.
Evaluating HyperScience Intelligent Document Processing without Clearfind
1 - 12 months of research and meetings
1.
Many Hours
Comb through full software ecosystem and do many hours of research to understand each potential competitor.
2.
Many Hours
Put all competitors on a spreadsheet, and become an expert in the software category to compare the products.
3.
Many Hours
Add criteria to the spreadsheet through your research of what each product does, based on research.
4.
Many Hours
Score each product against criteria. Add new criteria as you research to score, go back and re-score each other product. Realize some are marketing jargon, remove and re-score products.
5.
Many Hours
Contact internal power users and product owners. Convince them to do a review with you and develop a process.
6.
Many Hours
Take in their criteria of why the teams have one product over the other. Do this for all products in comparison set.
7.
Many Hours
Compare your criteria and scoring to the teams reasoning for needing their software. Go back to the teams with clarifying questions.
8.
Many Hours
Realize some of the features they think are unique to their platform may be accommodated in the other platform.
9.
Many Hours
Demo the other platform to be sure, take screenshots. Reach out to the vendors of the software, have one meeting to tell them your process. Have another meeting to do a demo of the product functionality.
10.
Many Hours
Have a demo with the stakeholders to convince them they would be fine with the other product.
11.
Many Hours
Make the business case to go with the product you think is best. As you bring it around for approvals, add to it, update it.
12.
Many Hours
Transform the business case into a presentation, use this presentation to gather final approvals.
Does something look off? If you work at HyperScience Intelligent Document Processing and notice an issue with our data, please contact: [email protected] and we'll work together to get it corrected.