Handl

API to convert documents into structured data

7 followers

API to convert documents into structured data

7 followers

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Data analysis tools

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Unified API

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AI Infrastructure Tools

Handl provides a flexible API for document capture and data extraction by merging deep learning with human-in-the-loop.

Launch tags:Artificial Intelligence•Tech

Launch Team

Tines — Build agents & automations integrated across your workspace

Build agents & automations integrated across your workspace

Promoted

Guys, cool stuff, congrats! Will try this for our TV programmatic solution. I just wonder what languages do your labelers work with?

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7yr ago

Norm Model B Desk

Maker

Thanks @alexey_utkin! We work mostly with English but any common language can be used, if needed.

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7yr ago

OneSoil

@dimadewinn Looks good! What do you mean by special knowledge from in-house team? What can your crowd annotate?

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7yr ago

Norm Model B Desk

Maker

@ivan_uvarov many thanks! Handl crowd is good for general tasks. You can assign tasks to groups of workers each of which is focused on a specific area. But if labeling requires the knowledge of Chinese or medical education, you may need your in-house team.

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7yr ago

TripleTen

Maker

@dimadewinn @ivan_uvarov one soil one love

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7yr ago

Hi, quick question: are you planing some integrations with service marketplaces, like Freelancer or Upwork?

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7yr ago

Norm Model B Desk

Maker

@tuzoff many thanks! We do plan some nice integrations, we will announce them in detail soon.

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7yr ago

Thanks a lot, guys! A great product! So you'll be able to automate a large chunk of content managers job, right?

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7yr ago

Norm Model B Desk

Maker

@batyr not really, Handl stands for machine learning data annotation. Mechanical Turk or similar would better fit jobs related to content management.

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7yr ago

Looks really really interesting! Questions: 1) What is the maximum and the minimum data volume for labeling? 2) Can we buy ready "cats" (for example) vertical datasets? Is it going to be a marketplace for different verticals? 3) What other datasets verticals do you have?

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7yr ago

Norm Model B Desk

Maker

@goldenalf13 thanks Andrew! We can deal with any data volume and we have a flexile pricing for that. For now, we work with client's data only. We do not trade in any way.

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7yr ago

Excellent Job. The keyboard shortcuts are (IMHO) a critical feature and I'm glad that it "just worked" as expected. I can see this being quite valuable in security-sensitive domains such as government or big enterprise. Is that where you see this going? Regardless, great job!

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7yr ago

TripleTen

Maker

@jake_quist Many thanks, this is also a favourite feature of our labelers! For clients with sensitive data, we provide an opportunity to work with our interfaces using their in-house team.

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7yr ago

Any plans to open source any of it or make it embeddable into existing workflows? Would also love to learn more about any future plans pertaining to audio labeling

Pros:

Seems like a great tool for image annotation, 25k users on board is an impressive metric, and the product is very straightforward

Cons:

Curious about the difference between Handl, Alegion, and Clickworker's image annotation

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7yr ago

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