mosparo VS Stract API

mosparo's answer

• PHP
• Symfony

Stract API's answer:

The primary technologies used in build Stract API are LLMs, Typescript, React, and Java.

mosparo's answer

Our audience is everybody with a website and a form on the website. Spam bots don't care about what kind of form you have; they like to spam you anyway.

Stract API's answer:

The primary audience for Stract API is small-to-mid-sized teams, along with enterprises, that run recurring, document-heavy workflows and need to pull consistent information out of growing batches of files faster than manual review allows. These teams are typically staff-constrained, facing rising intake volumes of contracts, case files, forms or survey responses, and working from question lists that keep changing over time. Buyers tend to be operations leaders, legal and contract review leads, insurance claims intake leads, research leads, marketing and CRM operations managers, and engineering teams responsible for pipeline automation. Day-to-day users include the document reviewers who need the extracted information and the developers and analysts who feed that structured output into downstream systems. The audience spans insurance and claims, legal (contracts, discovery and case files), journalism (FOIA releases, court records and meeting minutes), marketing (reviews, support tickets and call transcripts), social science (surveys, interviews and field notes) and academic research. Stract API is a weaker fit for organizations that only need occasional one-off extraction from a handful of documents, or teams committed to strictly template- or regex-driven extraction rather than plain-language field specifications.

mosparo's answer

mosparo is

• Free to use (no license cost ever)
• Accessible (the protection method in your form is fully accessible)
• Self-hosted (you have full control of the setup and the availability of the system)
• Data-saving (mosparo stores only the information that the user entered in the form. The data is stored encrypted and for 14 days only)
• Customizable design (the mosparo box in your form can be fully adjusted to your design)

and a lot more...

Stract API's answer:

A person should choose Stract API over its competitors because it gets them from a pile of documents to usable data with the least effort and risk. They describe what they need in plain language, so they don't build templates or learn a tool's vocabulary. They can use the point-and-click UI or the API for automated workflows, so the same product works for a one-off project and for a recurring pipeline. They also keep control over the tradeoff that matters most to them. They pick the model for each job, from fast, economical options for high-volume work to the newest, most capable LLMs for high-stakes analysis, instead of paying top-tier prices for everything. The extraction itself uses techniques from the latest AI research to improve quality. The cost is under 10% of the equivalent staff time, and results come back fast even on huge batches. Finally, Stract API is fully SOC2 compliant, which matters to teams handling case files, sources and survey data. Together, that means a team clears its "Needs Attention" pile and gets to analysis faster, without trading security or depth for speed.

mosparo's answer

mosparo was founded in May 2021. We needed spam protection for a form on the homepage of a website. Because of data privacy, we wanted a self-hosted solution. So we started to search for spam protection solutions. While there are some solutions, a lot of these solutions use either a puzzle to recognize humans or are built into a system and are not available everywhere.

After some more research, we found that these puzzle solutions do not work for people with disabilities and are, therefore, not accessible. Today, every website should be accessible – but when you have a form, you must decide between accessibility, data privacy, and spam.

Because of this experience, we started to think about a new spam protection system that solves the problems with accessibility and data privacy and is free to use and installable on every regular web hosting.

mosparo – the modern spam protection – was born.

Stract API's answer:

Stract API grew out of founder Matt Moreno's repeated frustration with the same problem. At a construction tech startup in Google's accelerator, his team built an LLM feature that matched a crew's plain-language daily report to labor and material options. It worked, but it was fragile. Parsing the output was hard, bad output was constant, and any change to the structure broke it. When he asked a Google director whether a product existed to extract arbitrary structured data from unstructured text, the director said no, but that Google probably should build one. Later, on a venture to automate land title research, he again spent tens of hours building flexible document extraction. That work pulled him away from the core mission, and he wished a third-party service would handle it. When he had time this summer (2026), he found few existing solutions. Remembering the director's words, he built Stract API, which took five months to reach MVP. It lets users describe the information they want, from simple facts to judgment-heavy analysis, and returns a spreadsheet, CSV or JSON from their documents.

mosparo's answer

The combination of a self-hosted, accessible, and free-to-use solution is not available from other software.

There are a lot of hosted solutions. Some of them are accessible, some not. Some are free, some not. There are also a lot of self-hosted solutions, but they usually use non-accessible methods like guessing characters or icons.

A solution that is accessible, free-to-use, self-hosted, and data-saving is pretty unique.

Stract API's answer:

Stract API is different because it lets the people closest to the questions get answers straight from their documents, with no templates, no custom tooling and no manual data entry. You upload your files, describe the data you need in plain language, and Stract API runs every document in the batch from start to finish. It returns clean, structured results you can put to work right away. You choose the model that fits the job, from fast, economical options for high-volume work to the newest, most capable LLMs for your highest-stakes analysis. Under the hood, it draws on techniques from the latest AI research to improve the quality of what gets extracted. The same analysis costs less than 10% of the equivalent staff time, so your team can skip the grind and go straight to analysis. And because sensitive work is the norm for many of your users, Stract API is fully SOC2 compliant, so your documents stay yours.

Stract API's answer:

Legal services and title companies are growing segments for Stract API