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Resume Parser by Affinda Reviews & Product Details

Resume Parser by Affinda Overview

What is Resume Parser by Affinda?

Affinda’s machiAffinda provides AI-powered document automation solutions that combine the adaptability of human understanding with the precision of computer accuracy to streamline document processing tasks. Our Resume Parser can be used to extract over 100 data points from each resume, arranging them into searchable formats. It collects information like personal details, work experience, education, skills, and much more, all neatly packaged into Excel, JSON, or XML outputs. Experience the convenience of our free online tool, available in various languages, and upload CVs in bulk.

Resume Parser by Affinda Details
Languages Supported
Afrikaans, Arabic, Bengali, Bulgarian, Czech, Danish, German, Greek, English, Estonian, Persian, Finnish, French, Gujarati, Hebrew, Hindi, Croatian, Hungarian, Indonesian, Italian, Japanese, Kannada, Korean, Latvian, Lithuanian, Malayalam, Marathi, Macedonian, Nepali, Dutch, Norwegian, Punjabi, Polish, Portuguese, Romanian, Russian, Slovak, Slovenian, Somali, Spanish, Albanian, Swahili, Swedish, Tamil, Telugu, Tagalog, Thai, Turkish, Ukrainian, Urdu, Vietnamese, Chinese (Simplified)
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Product Description

Affinda’s machine-learning solution can be used to extract more than 100 fields from each resume, organizing them into searchable file formats.


Seller Details
Seller
Affinda
Year Founded
2012
HQ Location
Melbourne, 3000
Twitter
@affinda_ai
18 Twitter followers
LinkedIn® Page
www.linkedin.com
49 employees on LinkedIn®
Description

Affinda provides AI-powered document automation solutions that combine the adaptability of human understanding with the precision of computer accuracy to streamline document processing tasks. Its AI data extraction solutions include Recruitment AI, Accounts Payable AI, Compliance AI, and custom models for unique cases.

These tools simplify routine tasks, accelerate document processing, enhance data extraction accuracy, and organize data in a user-friendly format.  These benefits combined can help boost productivity and efficiency in different
business settings. This is why Affinda's document processing AI is the go-to solution for job boards, HR professionals, recruitment teams, accounts payable teams, ERP platforms, IT consultants, and software companies.


Rhiannon K.
RK
Overview Provided by:
Marketing Content Creator

Recent Resume Parser by Affinda Reviews

LB
Lav B.Mid-Market (51-1000 emp.)
4.5 out of 5
"Easy AI parser for resumes & other documents"
Simple & easy to use. No hassles in setting up & implementing API either
MM
M M.Mid-Market (51-1000 emp.)
4.5 out of 5
"Reduces manual workload related to document automation using AI/ML"
Increases efficiency and helps use keywords to identify the right talent, especially with resumes. Other uses are parsing documents and having solu...
Verified User
U
Verified UserMid-Market (51-1000 emp.)
4.5 out of 5
"Loved the accuracy!"
I'd say it's the accuracy in comparison to other solutions in the martket. We saw an uplift in the % candidates who completed the application after...
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Resume Parser by Affinda Media

Resume Parser by Affinda Demo - Resume Parser
Affinda's Resume Parser in action. The highlighted fields symbolize the tool's ability to automatically identify and extract essential information from a resume. These fields typically include the job candidate's name, contact information, skills, qualifications, work experience, education, and m...
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11 Resume Parser by Affinda Reviews

4.9 out of 5
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11 Resume Parser by Affinda Reviews
4.9 out of 5
11 Resume Parser by Affinda Reviews
4.9 out of 5

Overall Review Sentiment for Resume Parser by AffindaQuestion

Time to Implement
<1 day
>12 months
Return on Investment
<6 months
48+ months
Ease of Setup
0 (Difficult)
10 (Easy)
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MM
Solutions Architect
Mid-Market(51-1000 emp.)
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Validated Reviewer
Verified Current User
Review source: G2 invite
Incentivized Review
What do you like best about Resume Parser by Affinda?

Increases efficiency and helps use keywords to identify the right talent, especially with resumes. Other uses are parsing documents and having solutions like ChatGPT provide the right information to take decisions. Review collected by and hosted on G2.com.

What do you dislike about Resume Parser by Affinda?

Data privacy - especially since their servers are located offshore. Review collected by and hosted on G2.com.

What problems is Resume Parser by Affinda solving and how is that benefiting you?

Parsing resumes for detailed insight to candidate talent, experience, etc. Review collected by and hosted on G2.com.

LB
Mid-Market(51-1000 emp.)
More Options
Validated Reviewer
Verified Current User
Review source: G2 invite
Incentivized Review
What do you like best about Resume Parser by Affinda?

Simple & easy to use. No hassles in setting up & implementing API either Review collected by and hosted on G2.com.

What do you dislike about Resume Parser by Affinda?

Nothing - it's almost perfect. Accuracy can be better for Indic languages. Review collected by and hosted on G2.com.

What problems is Resume Parser by Affinda solving and how is that benefiting you?

Parsing resumes for the HR team to easily identify talent using keywords. Review collected by and hosted on G2.com.

Verified User in Real Estate
UR
Mid-Market(51-1000 emp.)
More Options
Validated Reviewer
Review source: G2 invite
Incentivized Review
What do you like best about Resume Parser by Affinda?

I'd say it's the accuracy in comparison to other solutions in the martket. We saw an uplift in the % candidates who completed the application after implementing Affinda's resume parser tech. Review collected by and hosted on G2.com.

What do you dislike about Resume Parser by Affinda?

Nothing specific at the moment. I'd prefer if they also had an ATS offering in combination with the parser. Review collected by and hosted on G2.com.

What problems is Resume Parser by Affinda solving and how is that benefiting you?

Helping parsing the resumes of candidates to match with job for initial resume based screening & candidate shortlisting. We are sastified with the increase in application complition rate in comparision to previous service provider we were using. Review collected by and hosted on G2.com.

Alexis K.
AK
C
Mid-Market(51-1000 emp.)
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Validated Reviewer
Verified Current User
Review source: Organic
What do you like best about Resume Parser by Affinda?

As IT HR company Proxify is processing 4-8K candidates monthly to hire around 100. Huge volume, which needs to be processed automatically with minimum human intervention. We devised our internal algorithm to auto-schedule and pick the best candidates. The algo used data from the application form (experience, skills, English...) and had an accuracy of 86%, leaving 14% of good candidates in the grey zone. We thought that adding a CV parser and an AI matching tool would bring much value to reduce grey zone even further. Therefore we started comparing different solutions available on the market (you can find them on the internet). We tested 3 of them on our own sample and came to a conclusion Affinda is the best by far in terms of quality:

1. Accuracy on a test sample of 25 senior software developer CVs turned 100%, compared to alternatives ranging between 66% and 86%

2. Pricing is acceptable, adapted to high-volume business needs

3. The approach is AI / ML-driven, implying the accuracy will not deteriorate with scaling

Highly recommend Affinda to all massive volume-driven HR businesses! Review collected by and hosted on G2.com.

What do you dislike about Resume Parser by Affinda?

----------------------------------------- Review collected by and hosted on G2.com.

Recommendations to others considering Resume Parser by Affinda:

Define proper keywords for roles you are hiring for (e.g. Senior Android Developer = Android / Java / Kotlin / Mobile) and avoid setting too many constraints. The result will be the same as a human-like CV review. Review collected by and hosted on G2.com.

What problems is Resume Parser by Affinda solving and how is that benefiting you?

Reducing manual effort by recruiters to scan the CVs. 48% of our applicants attach a CV. Another 25% attach a LinkedIn account. All this information needs manual processing before a decision to invite the candidate to an interview could be made. Affinda makes this part of the process low-cost and scaleable. Review collected by and hosted on G2.com.

SS
Senior Product Manager
Small-Business(50 or fewer emp.)
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Validated Reviewer
Verified Current User
Review source: Organic
What do you like best about Resume Parser by Affinda?

When I compared the accuracy of the Affinda resume parser to 8 other resume parsers, Affinda was better than or equal to the others. But where Affinda really stood out head and shoulders above the others is in their level of support and attention to the customer.

Other vendors have a 'take it or leave it' attitude about their product. They didn't want feedback--or if they did, they didn't want it from a small company like mine. Affinda was just the opposite. When I had suggestions that they thought would improve their product overall and help their other customers as well, they were sometimes able to roll out new fields to production in as little as two weeks. If they thought my suggestion was specific my company's unique needs, they were willing to introduce custom XML/JSON tags to the API response. I've heard of that sort of thing happening elsewhere for strategic customers, but never for a customer as unimportant as me. But the Affinda team treated me like I was important. Review collected by and hosted on G2.com.

What do you dislike about Resume Parser by Affinda?

The other resume parsers I used to have a synchronous API. I submit a document for parsing; the API response is the XML/JSON for the structured data. Affinda uses an asynchronous model. I submit a document for parsing; the API response is the transaction ID for my request. Then I submit another API call with the transaction ID, where the response is the structured data.

I already had a production API client (developed to work with a different vendor). Initially I didn't like that I would need to change my client from the synchronous to asynchronous approach. But after I was done, I warmed up to that model.

An unexpected benefit is that I can keep submitting the same retrieval API call with the same transaction ID, and keep retrieving the same results. Of course that's not a use case for production. But in development, it's nice for debugging. I can test fixes without needing to resubmit the same resume each time and use up a parsing credit for each re-test. Review collected by and hosted on G2.com.

Recommendations to others considering Resume Parser by Affinda:

I highly recommend Review collected by and hosted on G2.com.

What problems is Resume Parser by Affinda solving and how is that benefiting you?

My application runs homegrown algorithms to evaluate resumes. Before my algorithms can run, I need to convert the resume from unstructured to structured data. Accurate parsing is critical for my algorithms to give meaningful results. Otherwise, garbage in, garbage out. Review collected by and hosted on G2.com.

James E.
JE
Head of Product
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Validated Reviewer
Review source: Organic
What do you like best about Resume Parser by Affinda?

We began using Affinda's Resume Parser this Summer, and I am delighted with the results. The parsing accuracy is incredible. It works across multiple file formats and resume styles. The response time from the API is great. Review collected by and hosted on G2.com.

What do you dislike about Resume Parser by Affinda?

I have not found any problems or areas that I dislike as of writing. Review collected by and hosted on G2.com.

What problems is Resume Parser by Affinda solving and how is that benefiting you?

Previously, our candidates had to create profiles manually. We had many requests from both candidates and employers to add resume parsing to our solution. By adding Affinda to our solution, we're now able to save candidates a lot of manual effort in creating their profiles. This resulted in increased profile creation conversion rates. Review collected by and hosted on G2.com.

Verified User in Staffing and Recruiting
AS
Enterprise(> 1000 emp.)
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Validated Reviewer
Verified Current User
Review source: Organic
What do you like best about Resume Parser by Affinda?

We conducted a thorough search. The firm processes thousands of resumes a week and having an accurate resume parser helps the team save significant amounts of time in managing candidate data. Review collected by and hosted on G2.com.

What do you dislike about Resume Parser by Affinda?

No complaints at the moment, we’re happy Review collected by and hosted on G2.com.

What problems is Resume Parser by Affinda solving and how is that benefiting you?

We have used a different resume parser for years, but as part of our internal processes we occasionally look at alternatives to ensure we’re getting the best deal.

We were very impressed with the team and offering at Affinda. They were able to match the quality of our previous vendor, but the pricing was much more attractive.

They were also able to make some customisations based on our requests, something our previous vendor was unable to do. Review collected by and hosted on G2.com.

Verified User in Civil Engineering
AC
Enterprise(> 1000 emp.)
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Validated Reviewer
Review source: Organic
What do you like best about Resume Parser by Affinda?

The service, without a doubt. We’re a large organisation with thousands of employees. I was chosen to manage this project despite having no technical background. I spoke to four of the different companies, trialed their tools, etc. In the end Affinda came out the winner because of responsiveness, flexibility, so when it came time to present the options to the Ops Manager, it was an easy choice. Review collected by and hosted on G2.com.

What do you dislike about Resume Parser by Affinda?

There is no interface, you need to have an exisitng interface Review collected by and hosted on G2.com.

What problems is Resume Parser by Affinda solving and how is that benefiting you?

Every week we hire dozens of employees or contractors across the company. Sorting through resumes is something that noone wants to do, but it must be done, however using a parser just takes it off people’s plates. Review collected by and hosted on G2.com.

NN
CEO
Small-Business(50 or fewer emp.)
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Validated Reviewer
Review source: Organic
What do you like best about Resume Parser by Affinda?

Affinda's resume parser performs better than other industry alternatives. Review collected by and hosted on G2.com.

What do you dislike about Resume Parser by Affinda?

The parser takes roughly 3s to parse a resume, which is still fast in terms of industry standards Review collected by and hosted on G2.com.

What problems is Resume Parser by Affinda solving and how is that benefiting you?

Resume Score (resumescore.io) uses Affinda's resume parser to collect data from candidate resumes. Once we collect the data from Affinda, we analyze the resume using industry best practices to provide a detailed report showing the candidate how to improve their resume. Review collected by and hosted on G2.com.

Verified User in Insurance
AI
Mid-Market(51-1000 emp.)
More Options
Validated Reviewer
Review source: Organic
What do you like best about Resume Parser by Affinda?

Affinda has the best balanced offering that we could find Review collected by and hosted on G2.com.

What do you dislike about Resume Parser by Affinda?

We are very happy, but the only suggestion would be to improve the latency Review collected by and hosted on G2.com.

Recommendations to others considering Resume Parser by Affinda:

Well worth it! Review collected by and hosted on G2.com.

What problems is Resume Parser by Affinda solving and how is that benefiting you?

Resume parsing is a cost centre in our business. The goal of resume parsing is to replace the human cost of manually extracting resumes and compiling that data into our internal CRM. We have a back office team in the Philippines that supports us in this. By using Affinda we have been able to redistribute 8 (of 10) team members from the recruitment team into other teams Review collected by and hosted on G2.com.