Every other tool wants to replace your framework. Testver upgrades it.
Testver is the first and only tool that gives your framework, your stack a rich, premium AI testing platform — completely free, with everything under your control.
Finally, freedom — no locks.
Testver vs AI test automation platforms
Most AI testing platforms make you rebuild your suite in their tool. Testver adds AI to the one you already have — or sets up a new one for you from scratch.
| Capability | Testver | Typical AI testing platforms |
|---|---|---|
Works with the framework you already use Playwright, Cypress, Selenium, Appium, WebdriverIO, Cucumber, REST Assured, PyTest, Puppeteer, Robot Framework | Wraps 10+ frameworks — zero migration | Proprietary runner — rewrite your suite |
You own the test code Plain code in your repo that runs with or without the tool | Native code, native runner — leave anytime | Tests live in the vendor’s format or cloud |
Vendor lock-in | None — everything keeps working if you walk away | Suite dies with the subscription |
Pricing model | Free tool — pay only for the AI credits you use. Run a local AI (Ollama or LM Studio) and even AI is free. | Per-seat subscriptions, platform fees, run minutes — typically $10,000–$15,000 per year for a team, before any AI usage. |
Self-hosted, your data stays with you | Entire stack runs on your infrastructure — or in your own Testver Cloud workspace when you’d rather not host | Mostly cloud-only; app under test leaves your network |
AI Assistance — a copilot for your framework Author, debug, and refactor in plain English — across Web, Mobile, API, and reports | Full repository context: writes and updates tests in your framework’s own style, debugs failures, refactors flaky tests, even scaffolds a new framework. Approve every change in Manual mode, or let it run in Auto — deleting files or sending email still asks first | Copilots exist — but they author into the vendor’s proprietary format, not your codebase |
AI recorder with self-healing selectors | + AI Annotations: plain-English validations, no code | Recorder yes — output locked to their platform |
Explores your app and writes the tests Give it a URL — get verified automation and linked test cases | Explore & Automate walks the app, writes tests in your framework, proves them by running them, links them to test cases and reports the issues it found on the way | Autonomous agents exist — but they generate into the platform’s own format |
Auto-healing Broken locators repair themselves after a failed run — verified by a re-run before anything is kept | Repairs from the failure’s own DOM evidence, re-runs the test to verify, keeps or reverts — with Suggest mode, per-suite/per-pipeline control, an Undo on every fix, and in CI it can re-check the build once a fix is proven | A few AI tools offer it — quality varies, and it only works inside their locked runner |
Execution reports & results Traces, video, screenshots, run history, dashboards | Per-step trace, video, screenshots, full run history with baseline diffs, plus AI-composed dashboards — unified across local and cloud runs | Solid reporting too |
AI failure analysis & guided fixes Root causes grouped, fixes handed to the AI Assistant | Failures grouped by root cause and sorted — real bug, broken test, environment, timeout. One click hands the fix to the AI Assistant with the error and affected tests attached; the next run confirms it | Basic failure grouping — fixing the test is still on you |
Impact analysis — which tests a change affects | Code Map links every method to the tests that use it, so a changed file points straight at the tests to run | Rare — usually a separate tool, if at all |
Choose your AI — cloud or local Testver managed cloud AI, or free local AI via Ollama / LM Studio | One connection to managed frontier AI — or run a local LLM and AI is free | Locked to the vendor’s built-in AI, always metered |
Agent Skills Teach the AI your team’s own conventions and best practices | Package your standards as reusable skills — e.g. exactly how YOUR team writes Playwright tests — and the assistant follows them in your own code. Create, import, export and share them across the team | Custom instructions and skills are common now — but they shape tests in the platform’s own format, not your framework |
Ask questions about your app Answers grounded in your project, with citations | Ask mode answers from what Testver has learned about your app and the documents you attach — and cites where each answer came from | A few platforms offer an assistant — useful within what they store |
Native mobile testing (Android & iOS) | Appium built in — same UI, on cloud devices, USB phones, Android emulators or iOS simulators. In beta, available now | Often a separate product or tier |
API testing included | Requests, environments, auth, schema and contract checks, Pact, mocks and load tests — beside your UI suites | Frequently an add-on |
Third-party device grids BrowserStack, Sauce Labs, LambdaTest | Bring your own account for real devices — unified reporting alongside Testver Grid | Usually only the vendor’s own grid |
Scheduling Cron-driven runs and reports, no external orchestrator | Built-in cron scheduler with presets, per-suite retries, and email or Slack notifications — no Jenkins or extra server needed | Scheduled runs are standard across the category |
CI/CD integration | GitHub Actions, GitLab CI, Jenkins, Azure Pipelines, Bitbucket and CircleCI gate builds on Testver-executed runs, with the verdict posted back as a commit status — every CI result lands in Testver dashboards with branch/environment analytics and deploy-to-tests tracing | Mature CI integrations with results reporting |
Full test management included Cases, plans, cycles, coverage, Jira integration | A complete TMS in the same tool | Separate purchase, separate silo |
Grid — cloud browsers on demand Chromium, Firefox and WebKit, in parallel | An add-on for any paid plan: parallel browsers from inside the tool with one connection, watched live as they run — $20 per parallel test per month, unlimited runs. How Grid works | Cloud browsers are standard across the category — typically $40–$60 per parallel test per month, or per-minute billing. |
Cloud — your own always-on workspace Running for the whole team, around the clock | An add-on for Team plans: one click gives your team its own always-on Testver server — schedules, pipelines and shared runs keep going while laptops sleep, backed up every 10 minutes. How Cloud works | Hosted on the vendor’s cloud — shared seats rather than a server of your own |
Testver vs test management suites
Traditional TMS products organise your testing but can't execute any of it — and they charge every tester, every month, for the privilege.
| Capability | Testver | Typical test management suites |
|---|---|---|
Test cases, plans, cycles & executions | ||
AI test case generation From requirements, PDFs and documents, user stories, Jira issues, or your existing test scripts | Positive / negative / edge coverage in seconds | Limited, or a paid AI add-on |
Runs the automation itself | Testver IS the runner — no second tool | Management only; execution lives elsewhere |
Cases linked to automation code Bidirectional traceability, script mapping | Native mapping down to the test in your repo | Manual mapping or third-party plugins |
Coverage & impact analytics | Requirement coverage, orphans, impact analysis | Basic coverage views |
Quality gates & smart test selection | Release quality gates, predictive test selection and risk assessment | Usually not included |
Jira integration + defect management | Pull issues in as sources, push defects and comments to Jira, and see each defect’s live Jira status | Often gated to higher tiers |
Dashboards & scheduled reports | AI-composed, emailed on a cron, shareable links | Static reports |
Pricing model | Free tool — no per-user licence; AI credits are optional | Per-user / per-month licensing |
Self-hosted | Runs entirely on your hardware | Cloud-first; self-hosting legacy or enterprise-only |
Access control & audit | Roles, two-factor sign-in, session policy and a full audit log — including every settings change | Often reserved for enterprise tiers |
Testver vs an AI coding assistant on its own
Today's coding agents write a test, run it in a terminal and can even drive a browser. What they don't give you is the system around the test — evidence that outlives the chat, a suite you can manage, runs that cost no AI, and a tool the whole QA team can use.
| Capability | Testver | An AI coding agent alone |
|---|---|---|
Writes a test from a description Both are good at this | With your project’s conventions, page objects and helpers — and it can scaffold a whole framework | Yes — agents write good test code, and Testver is not trying to replace that |
Runs the test and fixes it until it passes | Runs it locally, on Testver Grid or any cloud grid, and records the real verdict with the run | Agents run it in a terminal and iterate — but the result lives in that session, not in a record |
Turns a manual walkthrough into a test Record your clicks instead of describing them | AI Record captures the journey as you click, with plain-English annotations and assertions | Can’t watch you click through the app — it needs the journey described |
Keeps the evidence of every run Traces, video, screenshots, history | Every run keeps its trace, video and screenshots, with history and baselines to compare against | Can look at a browser while it works; nothing is kept for next week’s failure |
Repairs a broken locator — and proves the repair | Auto-Heal fixes from the failing run’s own evidence, re-runs every affected test, keeps or reverts — and can do it inside CI | Can fix and re-run what it’s pointed at; no policy, review window or undo across the suite |
Test management for the whole suite Cases, plans, cycles, coverage, ownership | Built in, across every framework in the workspace | Sees the files, not the suite — no cases, plans or coverage |
Unattended runs that cost no AI Nightly schedules and pipeline runs | Scheduled and CI runs execute your framework directly — no AI credits used unless Auto-Heal has something to fix | Background agents can be scheduled, but every run spends model usage |
Gates a deployment on the result | CI gate for GitHub Actions, GitLab, Jenkins, Azure, Bitbucket and CircleCI, with the verdict posted to the commit and deploy-to-tests tracing | Can write the pipeline file; the gate’s history and dashboard are yours to build |
Reporting a manager can read | Run history, pass-rate trends, flakiness and failure drill-down | Can summarise a run when asked; no trends or history |
Usable by the whole QA team Not only developers in an editor | A web app for testers, leads and managers — with roles and an audit log | Lives in a developer’s editor or terminal |
Native mobile and API testing in the same place | Recorder, live device view and device clouds for Android & iOS, plus API suites — same workflow | Can drive a device through add-on tools; no device cloud, recorder or suite |
Cost of running it all day | Free tool, prepaid AI credits — or a local model for zero AI cost | A plan per engineer, plus usage for long agent runs |
You don't have to choose
This is not an either/or. Keep writing code in the assistant you like — Testver is the layer that runs what it produces, proves it, and keeps it working as your app changes. To see what is coming next, visit the roadmap.
What you won't find in any column
Capabilities that exist because Testver sits inside your framework instead of on top of it.
AI Annotations
First of its kind: describe complex validations, custom actions, or data extractions in plain English while recording — no code required.
Test-aware AI recording agent
The AI recorder understands your existing tests and generates in your project’s own style — reusing your page objects and helpers instead of writing a parallel suite.
Automation + management, one system
Cases, plans, cycles, coverage, defects, AND the runner that executes it all — no integration glue between two vendors.
Runs where your data lives
Fully self-hosted with roles and an audit log. Run it with a local AI and your app, tests and results never leave your network — cloud AI, Grid and Cloud are there only when you choose them.
The maths is simple
A ten-person team on a typical commercial platform pays per seat, per month, every month — before running a single test. The same team on Testver pays nothing for the platform and only buys prepaid AI credits when they use AI. With a local LLM, even that cost is zero — because the only thing that was ever charged for is the AI itself.