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
IntegrationsN/A
Free tierN/A
Free trialYES
Contact salesN/A

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

Pros
  • High AI accuracy (>20‑50% better accuracy on resume parsing)
  • Broad document-type support (100+ types)
  • Multilingual capabilities (50+ languages)
Cons
  • 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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