CV Parsing and Branded Export in One Click

Two problems, one solution

Every recruiter knows the drill. One candidate sends a CV in Comic Sans. Another submits a five-page Word doc with zero structure. And you need to make both presentable for your client. On top of that, you still need to get all that data into your ATS. Two time-consuming tasks you repeat daily.

Most tools tackle one of these problems. CV parsers extract data. Formatting tools make CVs pretty. But you’re still switching between systems, copy-pasting, and manually correcting. That costs you 15 to 20 minutes per CV.

What if you could handle both in a single click?

Why CV parsing alone isn’t enough

Traditional CV parsers read a document and try to extract fields from it. Name, email, work experience, education. Sounds simple. But in practice, things go wrong constantly.

CVs aren’t standardized. One person puts work experience at the top, another at the bottom. Some candidates use tables, others free text. And then there are the creative designers who submit their CV as an infographic.

The result: your parser correctly extracts maybe 60 to 70% of the data. The rest requires manual checking and correction. That’s exactly the work you were trying to avoid.

On top of that, a parser stops after extraction. You have raw data, but you still need to format, organize, and make it presentable for your client yourself.

The hidden cost of manual formatting

Clients expect CVs in your house style. That means: fixed font, logo at the top, contact details in the right spot, and a clean structure for experience and skills. Some agencies even maintain multiple templates for different clients.

This manual formatting costs recruiters an average of 10 to 15 minutes per CV. With ten candidates per week, you’re spending two hours on pure layout work. And that’s before we count the typos you fix along the way, or adjusting job titles to match your client’s terminology.

The real cost isn’t just time. Every minute you spend on formatting is a minute you’re not spending calling candidates or building client relationships. It’s hidden revenue loss.

How Simply combines parsing and formatting

Simply tackles both problems at once. As soon as you upload a CV (whether it’s PDF, Word, or even a photo), two things happen simultaneously:

First: the AI parses the CV and recognizes all relevant fields. Not by searching for fixed positions on the page, but by understanding context. The AI knows that “2019-2023 at Deloitte” is work experience, even if it appears under an unexpected heading. This delivers more accurate data extraction than traditional parsers.

Second: the CV is automatically converted to your house style template. Logo, colors, font, layout. All consistent. Typos get corrected. And if you want, the AI adjusts job titles to match the terminology your client uses.

The result appears in seconds. Not minutes. Seconds.

Where the parsed data ends up

A beautifully formatted CV is worthless if the data isn’t on the record. Simply is the ATS itself, so parsed data is written straight into the right fields. CRM data entry happens automatically, with a validation system that shows you which fields were filled with high confidence (green) and which ones need a quick check (orange).

That means one system instead of two. The fields it fills are the ones in your own data model, including the custom ones your agency added. No export-import hassle. No CSV files.

And because the validation system is transparent, you know exactly what the AI did. You keep control, but without the work.

What this means for your workday

Picture this: a candidate sends a CV. You upload it to Simply. Within ten seconds you have:

A professionally formatted CV in your house style, ready to send to your client. All candidate data neatly in your ATS, validated and checked. And the extracted data with a confidence score per field, so you walk into the conversation knowing what the CV actually says and what still needs asking.

Those 15 to 20 minutes you’d normally spend? You now use them to call that hard-to-reach candidate. Or to follow up on that lead that’s been sitting there for two weeks.

With ten CVs per day, you save two to three hours. Per week, that’s a full working day. Per month, that’s revenue you’re currently leaving on the table.

The tech behind house style export

Simply’s CV formatting works differently from most tools. Instead of laying a generic template over your data, the AI understands the structure of the original CV and fits it in intelligently.

That means: if a candidate has an extensive portfolio, it gets included neatly. If someone changed jobs four times in two years, it’s displayed clearly without looking messy. The AI thinks about what your client wants to see.

You can set up multiple templates. A clean design for finance clients, a more creative format for marketing agencies. You set which template belongs to which client once, so you are not picking it again every time.

And everything stays editable. If you want to tweak something after the automatic formatting, you can. It’s your starting point, not your endpoint.

What recruiters are saying

What is left to do is check that it is right, not retype it. For an average agency processing 200 CVs per month, that’s 40 hours monthly. That’s a full work week freed up for work that actually matters.

But it’s not just about speed. The output quality is consistent. No human errors in formatting. No forgotten phone numbers. No wrong date formats. Your client gets a professional document that looks the same every time.

And that impacts your relationship with clients. When your CVs consistently look polished, you project professionalism. It’s a small detail that makes a big difference.

Getting started

Want to see how this works for your agency? Simply offers a free trial where you can test the full system with your own CVs and templates. No credit card required, no obligations.

Upload your first CV and see the result within seconds. Both the parsed data in your ATS and the formatted CV in your house style. All in one click.

Curious about how the whole system works? Read more about how AI in recruitment makes a difference when applied properly.

CV parsing and privacy: what you need to know

When automatically processing CVs, privacy is a core theme. CVs contain personal data: names, addresses, dates of birth, sometimes even social security numbers. Simply processes this data according to strict GDPR guidelines. Personal data is stored encrypted and only accessible to authorized users. Upon a deletion request, all related data gets completely erased.

A practical advantage of automated CV parsing is that you can configure which data gets included and which does not. Some clients do not want to see age or photo on the CV, to prevent unconscious bias. With Simply, you configure per export profile which fields are included. This way you deliver anonymized profiles by default to clients who require it, without manually removing data.

This is also relevant when working with international clients. Privacy legislation differs per country. What appears standard on a CV in the Netherlands, such as a date of birth, is not customary or even undesirable in some countries. Automated parsing with configurable export profiles makes it possible to deliver the right format per market.

Multilingual CV parsing for international recruitment

In international recruitment, you receive CVs in multiple languages. An English CV from a candidate in India, a German CV from a candidate in Munich, a French CV from someone in Brussels. Simply’s CV parser automatically detects the language and extracts the relevant fields regardless of language. The exported version can then be formatted in any desired language, so your client always receives a profile in their own language.

For agencies working with a high volume of international candidates, multilingual parsing is an operational necessity. It reduces dependency on bilingual staff for processing foreign CVs and significantly accelerates the turnaround time per candidate. The parser handles language detection and field extraction smoothly across all major European languages.