Airparser

Yes. Airparser parsed a two-column resume layout with a sidebar correctly on first upload with no manual configuration or layout hints. Both the main column and sidebar content including certifications, skills, and language proficiency levels were extracted and merged into a single clean JSON output.

This is a direct advantage over Affinda. Airparser captured the CGPA numeric value (8.2/10 on Input 1 and 8.7/10 on Input 2) correctly as a string in the education output. Affinda identified the grade unit but consistently missed the actual numeric score.

Yes, and it was observed in testing. On the clean resume input, Airparser extracted the email as "rugged.nichite@email.com" instead of the correct "rugved.nichite@email.com" — misreading the name portion of the email address. This type of hallucination error on a clearly formatted field is a concern for any production use case where contact information accuracy is critical.

Yes. On the messy resume input, Airparser captured all soft skills from the resume including good communication, team player, fast learner, and problem solving — all of which Affinda missed. However the skills were returned as a flat string rather than an array of individual skill objects on the messy input.