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CandiSift

Free#29 of 30 in AI Recruiting AssistantsCandidate Screening Software

CandiSift: A self-hosted screening system for technical teams that need explainable candidate ranking. Ranked #29 of 30 in AI Recruiting Assistants by our editors (5.4/10); pricing: Open source; best for technical teams needing self-hosted resume screening.

5.4/10Editor score
CandiSift5.4 Visit CandiSift

At a glance

  • Editor score
    5.4 / 10
  • Pricing
    Open source
  • Best for
    Technical teams needing self-hosted resume screening
  • Paid from
    Free
  • Facts checked
    20 Sep 2026
CandiSift screenshot
  • Where it wins

    • Combines hard filters with semantic ranking against job descriptions
    • Cites evidence in candidate breakdowns and recruiter decisions
    • Adds PII stripping, bias audits, and prompt-injection safeguards
  • Where it doesn't

    • Focuses on screening rather than candidate sourcing
    • Does not cover scheduling or recruiter messaging workflows
    • ATS integrations are outside its documented feature set

Our verdict on CandiSift

CandiSift is an open-source, self-hostable applicant tracking system for recruiters and hiring teams. It runs through a web interface, JSON API, or self-hosted deployment and focuses on turning resumes into structured screening results. The system parses PDF, DOCX, and text resumes, extracts candidate profiles, matches candidates to job descriptions, and supports technical teams that want control over deployment and screening logic.

Its strongest area is the combination of deterministic filtering and AI-assisted evaluation. Recruiters can apply hard filters for location, experience, certifications, and authorization before using semantic ranking. LLM-based persona agents add screening and synthesis, while evidence-cited breakdowns connect recommendations to candidate information. Background processing uses a durable queue with retry and requeue support, which suits teams handling screening work asynchronously. PII stripping before model processing, audit logging, bias-audit endpoints, recommendation-mix analysis, upload validation, and prompt-injection safeguards add oversight around model-assisted decisions.

CandiSift is most suitable when resume screening is the central hiring workflow and the team can manage a self-hosted or API-based system. Its scope is narrower than a full recruiting suite: the documented capabilities center on parsing, filtering, ranking, screening, and analysis rather than verified sourcing, scheduling, or messaging. Teams looking for an explainable screening layer with open-source deployment options should find the feature set well aligned. Organizations that need a broader recruiting operation with sourcing and downstream coordination should choose a product built around those workflows instead.

Your product? Our editors can test CandiSift in depth and publish a review, labelled as paid · from $149/mo →

CandiSift pricing

Plans Open sourceFree Free to use — no paid tier required for the core job.
See plans on github.com

CandiSift fact sheet

Free planNot verified
Paid fromFree
Sourcing automationNot verified
Application screeningYes
Interview schedulingNot verified
Candidate messagingNot verified
ATS integrationNot verified
Deployment typeMulti-platform
DeploymentSelf-hosted
PlatformsWeb
Built forSmall business, Mid-market, Enterprise (editorial estimate)
PricingOpen source
Websitegithub.com
Facts checked20 Sep 2026

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Also Ranked In

CandiSift is ranked in 2 of our directories.

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Featured on iTechGuides

Featured on iTechGuides — CandiSift 5.4/10

CandiSift is listed in our AI Recruiting Assistants directory. Add the badge to your site — it links back to this page.

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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

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