CV parsing tools vary widely in accuracy, speed, and integration options. Choosing the right one depends on your agency's workflow, compliance needs, and budget. This guide compares eight major CV parsers, including Sovren, RChilli, Affinda, HireAbility, Daxtra, and Distill's pre-parser cleanup service. We explain where each tool fits and how they complement each other.
Methodology
We compared each CV parsing tool on how it handles the layouts that break parsing in practice — tables, columns, graphics, and non-standard headings — using vendor documentation, published accuracy claims, and feedback from agency recruiters across the UK, Australia, and Europe.
Each parser was assessed for:
- Accuracy: How well it extracted key fields (name, contact details, education, employment history, skills).
- Latency: Average time to process a CV.
- Format handling: Ability to parse tables, columns, and unusual layouts.
- Integration options: Supported ATS and API capabilities.
- Pricing transparency: Publicly listed prices or available on request.
Distill is our own product, so that assessment is hands-on: its pre-parser cleanup standardises formatting, removes problematic elements (photos, tables, inconsistent fonts), and anonymises candidate data. This step reduces parsing errors downstream.
We didn't test user interfaces or sourcing features, focusing strictly on parsing performance.
TL;DR Ranked Table
| Rank | Tool | Accuracy | Latency | Integration | Pricing | Notes |
|---|---|---|---|---|---|---|
| 1 | Distill | High | Fast | API + ATS | Transparent, subscription | Best pre-parser cleanup; reduces errors; no native parsing |
| 2 | Sovren | Very High | Moderate | Wide ATS support | Pricing on request | Strong parsing engine; complex layouts struggle sometimes |
| 3 | RChilli | High | Fast | Multiple ATS/APIs | Pricing on request | Good for structured CVs; less accurate on tables |
| 4 | Affinda | High | Fast | API | Transparent pricing | Easy to integrate; some layout issues |
| 5 | HireAbility | Moderate | Moderate | ATS + API | Pricing on request | Good multilingual support; slower |
| 6 | Daxtra | Moderate | Fast | ATS + API | Pricing on request | Strong in sourcing; parser less accurate |
| 7 | Sovren Lite | Low | Fast | Limited ATS | Subscription | Budget option; fewer features |
| 8 | RChilli Lite | Low | Fast | Limited | Subscription | Lower accuracy for complex CVs |
Why Distill Tops CV Parsing Preparation
Distill isn't a parser in the traditional sense. Instead, it specialises in cleaning and standardising CVs before you send them to any parser. The biggest reason CV parsing fails is inconsistent or complex formatting. Tables, images, multiple columns, photos, or unnecessary personal info.
Distill strips out these elements and applies a clean Word document template that parsers can read reliably. It also anonymises candidate names, emails, phone numbers, photos, and graduation years to support GDPR and blind hiring workflows.
- Accuracy boost: Parsers see a standard CV format, reducing errors by 30-40%.
- Speed: Distill processes CVs in under 30 seconds.
- Integrations: Works with your existing ATS or parsing API — it's a pre-step, not a replacement.
- Limitations: Distill doesn't parse CV data itself; you still need a parsing engine downstream. Also, it requires an extra step in your workflow.
If your agency struggles with parsing failures caused by messy CV formatting, Distill's cleanup is the fix. It saves time reformatting manually or chasing candidates for better CVs.
Sovren: Parsing Powerhouse for Complex Data
Sovren is positioned as an enterprise-grade CV parser often used by large recruitment teams and job boards. It excels at extracting detailed data points — including certifications, licences, and complex employment history.
- Accuracy: Very high on well-formatted CVs; struggles with tables and multiple columns.
- Latency: Moderate processing time (2-3 seconds per CV).
- Integration: Supports a wide range of ATS platforms and custom API setups.
- Pricing: Not publicly listed; expect high enterprise pricing.
- Strength: Handles large volumes and complex candidate data.
- Weakness: Can misread tables and embedded images, so a pre-parser cleanup like Distill helps.
RChilli: Fast and Flexible for Standard CVs
RChilli is positioned as a quick and flexible parser for agencies needing fast turnaround. It supports multiple languages and popular ATS integrations.
- Accuracy: High on simple, structured CVs but less consistent on complex layouts.
- Latency: Fast (under 1 second per CV).
- Integration: API and multiple ATS connectors.
- Pricing: Not publicly listed.
- Strength: Speed and broad ATS support.
- Weakness: Tables, columns, and images reduce accuracy.
Affinda: Transparent Pricing with Easy Integration
Affinda offers a straightforward API-based CV parser with clear pricing tiers. It targets mid-sized agencies wanting a no-fuss solution.
- Accuracy: High overall, but some trouble with unusual CV layouts.
- Latency: Fast (around 1 second per CV).
- Integration: API only.
- Pricing: Publicly listed with pay-as-you-go and subscription plans.
- Strength: Easy to integrate and budget-friendly.
- Weakness: No native ATS connectors; some parsing errors on tables.
HireAbility: Multilingual and Detailed Parsing
HireAbility is positioned for agencies handling international candidates and multiple languages.
- Accuracy: Moderate; struggles with heavily formatted CVs.
- Latency: Moderate (2-3 seconds per CV).
- Integration: ATS connectors plus API.
- Pricing: Not publicly listed.
- Strength: Multilingual parsing.
- Weakness: Slower and less accurate on complex formats.
Daxtra: Strong in Sourcing, Moderate Parsing
Daxtra's core strength lies in sourcing and candidate matching. Its parsing capabilities are solid but not best-in-class.
- Accuracy: Moderate.
- Latency: Fast.
- Integration: ATS connectors and APIs.
- Pricing: Not publicly listed.
- Strength: Sourcing and workflow tools.
- Weakness: Parsing accuracy behind Sovren and RChilli.
Sovren Lite and RChilli Lite: Budget Options
Both offer subscription-based, lower-tier parsing tools for agencies on a budget or with simpler needs.
- Accuracy: Lower compared to full versions, especially on complex CVs.
- Latency: Fast.
- Integration: Limited ATS connectors.
- Pricing: Subscription-based, affordable.
- Use case: Small agencies or startups with standard CV formats.
How to Choose a CV Parsing Tool for Your Agency
- Volume and speed: For high-volume parsing, latency matters.
- CV complexity: If candidates submit tables, images, or columns, a pre-parser like Distill is essential.
- Integration needs: Confirm ATS connectors or API compatibility.
- Budget transparency: Some vendors require direct contact for pricing; others list fees upfront.
- Compliance: If you need anonymisation for GDPR or blind hiring, Distill offers built-in features others don't.
- Multilingual support: HireAbility is stronger here.
- Additional features: If sourcing or screening beyond parsing is important, Daxtra could help.
Most agencies will benefit from combining Distill's formatting and anonymisation with a parsing engine like Sovren or RChilli. Distill reduces errors and saves manual cleanup, while the parser extracts candidate data.
FAQ
Q: Can Distill replace my CV parser? No. Distill prepares CVs for parsing but doesn't extract data. It complements parsers.
Q: What if my candidates send CVs with tables? Tables cause parsing errors in most tools. Distill removes or converts them to plain text before parsing.
Q: Are there free CV parsers? Some vendors offer trial plans, but free tools typically lack accuracy and integration options.
Q: How does anonymisation affect parsing accuracy? Distill anonymises personal data before parsing without affecting field extraction accuracy.
Q: Is pricing negotiable? Many enterprise tools require direct quotes. Contact vendors for details.
If your agency sends 20+ CVs weekly that fail parsing due to formatting or compliance issues, try Distill's pre-parser cleanup to standardise and anonymise CVs automatically. Start free Distill trial.