Resume Redactor logo

Resume Redactor

by Affinda · Since 2012
No reviews yet
Active1+ countriesCloudOn-premise
Quick facts
VendorAffinda
Year launched2012
StatusActive
LocationMelbourne, VIC 3000, AU
Countries served1+
Languages10
Integrations
Free tier
Free trialYES
Contact sales

About Resume Redactor

Resume Redactor is a document processing software from Affinda that automates document workflows with AI. It combines high accuracy parsing across multiple languages, improved customer use thanks to better structured data, and stronger compliance with international data security and software standards so businesses can process documents efficiently. This software uses precision document AI agents to read, understand, and extract data from various types of documents, which helps reduce manual effort and increase productivity. Suitable for any industry, Resume Redactor can be utilized for diverse workflows involving multiple document types. Key capabilities: high accuracy parsing multi-language support improved data structuring compliance with security standards AI-driven document extraction Best for: businesses that need to automate document processing tasks.

Resume Redactor is a powerful tool designed to streamline the process of scanning, sorting, and optimizing resumes for recruiters and hiring managers. One of its standout features is its ability to automatically redact sensitive information like names, addresses, and contact details, ensuring fair and unbiased evaluation of candidates based solely on their qualifications. The user interface of Resume Redactor is sleek and intuitive, making it easy for users to navigate and utilize its features efficiently. The design elements are clean and minimalist, focusing on functionality without unnecessary clutter. The drag-and-drop functionality makes uploading and organizing resumes a breeze, while the search and filter options help users quickly locate specific candidates within large datasets. What sets Resume Redactor apart from its competitors is its advanced machine learning algorithms, which can analyze and categorize resumes based on keywords, skills, and experience levels. This feature not only saves time for recruiters but also ensures a more accurate matching process between candidates and job requirements. Additionally, the software offers customizable templates for creating standardized resumes, saving users time and effort in formatting documents.

Pros & Cons

What users like
  • +High AI accuracy (>20‑50% better accuracy on resume parsing)
  • +Broad document-type support (100+ types)
  • +Multilingual capabilities (50+ languages)
What users flag
  • No on‑premises deployment—cloud only
  • Lack of transparent multi‑currency billing
  • No public marketplace for integrations (reliance on custom/API work)
  • Advanced customization may require professional services

Features

Key features

AI‑powered OCR
Automatically extracts text from scanned, image-based or machine-readable documents using smart OCR options (Auto‑Detect, Partial, Always Full, Skip)
NextGen Resume Parser
AI-driven resume data extraction supporting 100+ fields and 56+ languages, with advanced accuracy, job-title/skills taxonomy mapping
Job Description Parser
Extracts structured data from job descriptions to align candidate skills and roles
Resume Redactor
Automatically anonymises personal info on resumes for compliance (e.g., KYC, bias reduction)
Candidate Search & Match
Matches parsed candidates against roles using AI and custom workflows
Resume Summary
Generates concise summaries from resume content using NLP

Additional features

Document ingestion
Upload via app, email, API; handles PDFs, JPGs, PNGs
Split & Classify
Auto splits multi-document uploads and classifies document types via AI
Information extraction
Customisable AI models to extract data from diverse document types
Machine validation & exception handling
In‑app or embedded validation UI for reviewing non‑automated docs
Self‑learning AI
Adapts over time to new templates, suppliers, formats
Bulk processing API
One API call for batch processing (e.g., invoices)
OCR options
Skip / Auto‑Detect / Partial / Always Full
Configurable taxonomies
Map skills/job titles to Lightcast/ESCO frameworks
Custom fields support
Add industry‑specific fields like driver licence number
Webhooks & metadata management
Automate workflows and manage document metadata
Embeddable tools
Validation UI that can be embedded in your own platform
Rich data output
Extracted structured data with field-level metadata
Multilingual engine
Supports text and OCR in over 50 languages
Security & admin control
User roles, permissions, workspace management
On‑premise deployment option
For self-hosted installations
Extensive API & developer tools
Documentation, client libraries, quickstarts

Pricing

Free trial
Free version
Request a quote
Promo Offer

Countries & Languages

1
Countries served
10
Interface languages
15
Billing currencies

Available in

All Countries.

Interface languages

EnglishSpanishFrenchGermanItalianPortugueseRussianChineseJapaneseKorean

Billing currencies

🇺🇸USD🇪🇺EUR🇬🇧GBP🇯🇵JPY🇦🇺AUD🇨🇦CAD🇨🇭CHF🇨🇳CNY🇮🇳INR🇷🇺RUB🇰🇷KRW🇿🇦ZAR🇹🇷TRY🇸🇬SGD🇳🇿NZD

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