Affinda Resume Parser Reviews and Ratings

Use Cases and Deployment Scope

I am a project service officer for an electricity infrastructure company in Australia. We run dozens of projects at any one time with a mix of contractors and employees. Most of our workforce is not ‘experienced’ in the art of writing resumes, meaning that the challenge of parsing their data is hard and has caused many issues in the past with hiring. [Resume Parser by Affinda} has made it a lot better for us, in the short time we have been with them. Our hiring managers are much happier with the quality of the tool, we lose less time.

Likelihood to Recommend

[Resume Parser by Affinda] is not a standalone tool, so it will work best for companies with a preexisting tech stack[.]

Use Cases and Deployment Scope

<p>Affinda is used by our recruiting teams as they manage the candidate flow. We have built an integration into our internal CRM.</p>

<p>The reason we have switched to Affinda is to drive more efficiencies in our business. We regularly re-evaluate our vendors. </p>

<p>We had not heard of Affinda before, but were sufficiently impressed in initial trials to ask them to participate in a head to head with our current vendor. While the quality was slightly better, what impressed us was their responsiveness to requests, and a better business model that offered more attractive commercial terms.</p>

Likelihood to Recommend

Affinda is especially appropriate for larger organisations, like ours with internal CRMs.

For those who use a fully fledged cloud-based ATS, Affinda will not meet their needs, as Affinda is just one step in the chain.

Use Cases and Deployment Scope

<div>I was seconded out of my team into the operations team in order to run this project.</div><div>

</div><div>Affinda is being used by our hiring teams to manage both recruitment and internal hiring.</div><div>

</div><div>It has reduced the cost of resume data extraction, something that was previously a big headache. We have tested other tools in past years but the quality wasn’t enough to switch from doing it manually. Affinda is the first one we have tried where we have actually decided to commit to using a technology.</div>

Likelihood to Recommend

Affinda makes sense in bigger teams where you are dealing with lots of CVs. For smaller companies or low volumes I don't think it would make as much sense.

Use Cases and Deployment Scope

My team developed an application that helps job seekers improve their resumes and thus improve their chances of getting job interviews when they apply for jobs. My application needs a 3rd party resume parser to convert the document to structured data before my application can run the algorithms my team created. We chose Affinda as the resume parser after comparing it to 8 other resumes parsing APIs.

Likelihood to Recommend

It is well suited for resumes in PDF or DOC/DOCX file format. I have not attempted it with other document formats.

Use Cases and Deployment Scope

This is a great tool to help identify candidates with the best attributes to fill open sales positions. Really increases the efficiency of going through all the resumes to find the ideal candidates. I have found this to be an effective way to go through a large number of candidate's resumes letting the platform gather the specific criteria that best matches our needs. Dramatically cuts down the time it takes to identify the best potential candidates for our sales team. I will continue to use this platform as it is easy and delivers great results.

Likelihood to Recommend

Great platform for identifying ideal candidates