I used Airparser to create excel sheets from old mailing address lists that were preformatted to fit on printable labels in Microsoft Word. I was able to extract things like street address, zip code, and even more specific things like "surname". That's what impressed me the most - it could look at John Smith, recognize that as a name, and extract "Smith" into its own column because that's the surname. Definitely will be using this again in the future.

Airparser is the higher-powered version of their sister software Parsio. Compared to Parsio, Airparser is able to handle more complicated data structures and accepts multiple GPT prompts at once. I tried Parsio at first and like did like it but had some projects that required me to try Airparser. It absolutely lived up to my expectations, and the AI functions worked great.

Much like Parsio, Airparser isn't great at detecting gaps in data. For example, if I tell it to look for house number, town, and zip code, and there's one entry without a zip code, it'll take an incorrect zip code form another address or disregard the entry entirely. As GPT and Airparser evolves, I'm sure this can be fixed. Can also be worked around by cleaning up your data before inputting into Airparser, which is what I've been doing.

Good. It is helpful that they provide a trial, so you can test a set up before committing to a paid plan. Overall - Recommendation!

I have tried different email parsers in the past. Airparser's setup is user friendly for the non-coders amongst us.

If you want to extract data from emails and create Google Sheets, you need to use Zapier as connection. The term Airparser uses is "Webhook". It all makes sense when you understand it. But as a newbie, it takes a minute to understand. How-To guides exist, but could be more prominently featured on the website.

various data processing tasks. The ability to extract data from different types of documents including PDFs, emails, HTML, txt files, and even scanned images is particularly impressive. Furthermore, its capability, and really would recommend if any ask because its moving straight up

digitize handwritten notes and lists is quite impressive. These features could potentially save a lot of time and effort in data processing tasks

the accuracy of data extraction might depend on the quality and complexity of the input documents. Also, there could be challenges related to privacy and security of sensitive data. Lastly, the cost which consider high to the market .

Beyond the functionality, the team behind Airparser is incredibly helpful and responsive. I wish this product and team success, and look forward to seeing what else they create.

I am thrilled with Airparser thus far. It has transformed several key functions of our business and I look forward to finding other ways to implement across our organization. Airparser is so easy to use I was set up within five minutes, and it integrates perfectly with our other softwares. I also had been looking for a software that would analyze non-traditionally structured documents like the industry reports we've been manually transcribing. Using GPT technology, I described what I wanted and it has operated with 100% accuracy. So impressive and user-friendly, and they've really created a well-rounded product. So far, I have reduced 5-10 hours of weekly manual labor with Airparser. This is a tool all businesses should explore in 2024!

Nothing I can think of - just wish I had found it sooner!

It works out of the box on a lot of different PDF files we use for customers. It is easily integrated into existing applications.

It took me a while to find out how to correctly send the PDF files into the system

I was initially impressed because it was able to quickly take out some data, but upon slightly changing the extraction schema to put the data in a list, it no longer worked and then I ran out of credits.

I didn't like that I ran out of credits before I was able to accomplish what I wanted to do / still figuring out how to use the extraction schema. I tried a different software and I was able to extract the info I needed without running out of credits, so I decide to use that instead for my website. I also tried reaching out to customer service and they didn't help me.

Overall, Airparser is a really great user-friendly tool that delivers exactly what it promises and more.

As someone who had never used a data extraction or document parser tool before, Airparser was incredibly easy to set up, although there was a slight learning curve when it came to the terminology. I nearly bailed when I read "it's time to create an Extraction Schema," but the tool was, in actuality, incredibly easy to set up and user-friendly. They offer a generous free tier, but the paid plans are also quite reasonably priced. The best part of Airparser (at least for me and my needs) is its ability to easily extract data from multiple types of content—even emails AND email attachments. After setting up your "inbox," the tool provides an email address that you can forward emails to and drag-and-drop other documents into for parsing. The extraction process is incredibly simple; you just describe the data you need, and the tool does the rest!

The only feature that seems to be missing to me is the ability to collaborate with teammates.

I uploaded a couple of documents and it just worked. I tried to be very descriptive in the parsing and that's all it took.

I'm still exploring but so far I couldn't find anything.

Turns a complex pipeline into a streamlined UX

The Free tier allowed for just one usage. Data extraction was not perfect.

Minutes to setup and test and results were shockingly good

There was one result that was unexpected but support response was really good.

The user interface is very intuitive. The speed of the proccess is also acceptable and the easy way to find support if required

Could have a longer trial period, with more functions available.

Ease of use and prompt exposure where we can retrieve a specific parts from a document based on prompt

Couldn't find python client , was accessible only through rest apis

Easy to use

the product is easy to use and has good integrations

the cost-benefit ratio is not adequate for us

Processes that would otherwise not even be feasible like data cleanups, data extractions, and migrating to a new app with existing data become possible with these tools

sometimes it would be inconsistent in extracted data despite consistent formatting and accuracy in all other documents so requires a double check for validation

It can handle various types of documents and texts, such as emails, invoices, receipts, handwritten notes, lists, and more

Sometimes fails to recognize some special characters or symbols in the documents