Tool profile
Testlify: cost, fit and limits
Testlify is a skills assessment platform that sells a library of tests and AI interviews on a credit-based Standard plan, with a custom tier for large candidate volumes. It targets recruiting teams that screen applicants at volume.
What to know first
Testlify's Standard plan is $139 a month or $1,668 billed annually, with 100 credits a year at $16.68 per candidate credit, plus 3 user seats. A credit is used only when a candidate starts an assessment, and unused credits expire at cycle end. The pricing page offers a 7-day trial and no free plan. Only that page was opened. Custom pricing starts at 25,000 candidates.
Testlify at a glance
| Maker | Not stated on the vendor pages, Not stated on the vendor pages |
|---|---|
| Free plan | Free trial only |
| Entry price | $139 per month ($1,668 per year) |
| API access | Yes |
| Category | Best AI Coding Assessment Platforms in 2026, rank 11 of 11 |
| Website | testlify.com |
Who Testlify is best for
Teams that want AI interviews in the plan
Standard lists AI video, audio and phone interviews along with AI resume scoring. The vendor describes them as part of the base price.
Greenhouse users
AI resume scoring is free when used with the Greenhouse integration, according to the pricing page. Teams on another system must check their own integration.
Agencies and resellers
The Custom tier lists white label, reseller setup and removal of Testlify branding. Those items suit service providers who resell assessments.
Testlify plans and pricing
| Plan | Price | What it includes |
|---|---|---|
| Standard | $139 per month, or $1,668 per year | Unlimited assessments, 3,500-plus tests, 150-plus interview templates, AI video, audio and phone interviews, AI resume scoring, secure proctoring and 3 seats. |
| Custom | Tailored pricing for your volume | For 25,000-plus candidates a year: 100-plus ATS integrations, API and webhooks, advanced proctoring, ID verification, SSO, an SLA and white label. |
| Unlimited credit plan | Not published (contact sales) | Listed on the pricing page without details. Ask sales for the allowance and price. Request it. |
| Non-profit | 25% discount with a promo code | A non-profit option linked from the pricing page. The code must be requested from the vendor. |
Checked November 2026.
What Testlify does
- Test library
- 3,500-plus tests and 180,000-plus validated questions are on Standard. Teams can mix technical and general tests in one plan without buying separate libraries. Libraries are not itemized.
- AI interviews
- AI video, audio and chat interviews, including conversational interviews, are on the Standard plan. The page names voice, video and phone formats, with per-minute pricing for phone interviews.
- AI resume scoring
- Scores resumes with AI, and is free with the Greenhouse integration. The vendor lists no other integration pairing, so teams on a different system should ask.
- AI assistance detection
- Proctoring includes detection of AI assistance during assessments. The pages do not describe which signals count, so ask for a sample report. Sample output is not shown.
- Job simulations
- Role-based simulations use AI chat scenarios. Candidates chat with an AI in a work scenario, and the vendor does not describe scoring. Scoring is not described.
How Testlify handles your data
Only the pricing page was opened for this review, so Testlify's own text on data retention, hosting region, certifications and whether customer data trains models was not read. The privacy policy was not opened, and the pricing page names no legal entity or headquarters country. A buyer that will run AI video and audio interviews records candidate voice and image, so ask for the privacy policy, a retention schedule, the model providers used and a data processing agreement before any pilot.
Where Testlify falls short in practice
- Contradictory integration pricing. The page lists integrations as a $2,388 yearly add-on while a banner says 100-plus ATS integrations are on every plan. Ask in writing which price applies to your ATS before you subscribe.
- Extra charges. Additional credits are $21 each, phone interviews $0.18 per minute and live video proctoring $5 per attempt. AI-heavy hiring can therefore cost far more than the Standard plan price implies.
- Seat limits. Standard includes 3 seats and extra seats are $15 per seat a month. Larger recruiting teams will add a per-seat fee every month. Plan for this early.
- Conflicting comparison table. Some lower-plan items conflict with what the Custom plan lists. Ask the vendor to confirm which plan includes which feature in writing. Compare before signing.
Works with
Alternatives to Testlify
Testlify: common questions
How much does Testlify cost?
Standard is $139 a month or $1,668 billed annually, including 100 credits a year at $16.68 per candidate credit and 3 user seats. Additional credits are $21 each. A Custom plan is quoted for volumes of 25,000-plus candidates a year.
Does Testlify have a free trial?
A 7-day free trial with no credit card is offered. There is no free plan. Ask whether trial candidates draw on the 100-credit allowance and whether AI interviews are available during the trial, because the pricing page does not say.
Are Testlify integrations included in Standard?
The page conflicts. A banner says 100-plus ATS integrations are on every plan, while the Standard plan lists integrations as a paid add-on at $2,388 a year. Get the answer for your ATS in writing before subscribing. Ask for the answer in writing.
What extra fees does Testlify charge?
Additional credits are $21 each, phone interviews cost $0.18 per minute, live video proctoring is $5 per attempt and extra seats are $15 per seat a month. These extras can change the effective price per candidate for AI-heavy hiring, so model your expected mix.
Does Testlify train AI on my candidate data?
The pricing page does not say, and Testlify's privacy policy was not opened for this review. Because the platform offers AI video, audio and phone interviews, ask for written terms covering model providers, recording retention and whether candidate data is used to improve models.