ExaminerOS vs Physics AI

ExaminerOS and Physics AI are both education & learning tracked by AIDiveForge. Below is a side-by-side comparison of pricing, capabilities, platforms, and ownership — sourced from each tool's live website and verified before publishing.

ExaminerOS

The platform covers four distinct assessment types — high-stakes exams with anti-cheat controls, retakeable quizzes with leaderboards, GTKY intake forms with browser-recorded audio and video, and anonymous polls — each with its own result engine. AI question generation drafts a full question set from a topic prompt or an uploaded PDF, which means a compliance officer can turn a policy document into a 40-question GDPR test without writing a single question manually. Tab-switch detection, randomised question order, and time-boxing are all described as active anti-cheat layers. The free plan is permanent, not a trial. Where the platform shows limits: open-ended written responses are not auto-graded, and there is no self-hosted option — your data lives on ExaminerOS infrastructure.

Physics AI

The scraped page content returned does not match the submitted tool data — the page describes a travel-identification app called Spotter, not a physics problem-solving tool. No factual claims about the physics tool's workflow, explanation quality, or feature set can be sourced from the provided page. What the validator context confirms: the tool operates on a per-submission credit model, has no API, no self-hosting, and no agentic capability — users submit a problem and receive a response. Teams or educators expecting programmatic access or bulk assignment integration will find a hard wall immediately.

Attribute	ExaminerOS	Physics AI
Pricing	Paid	Paid
Price	—	$5.9/mo
Free trial	No	No
Open source	No	No
Has API	No	No
Self-hosted option	No	No
Platforms	—	Web-based (browser)
Pros	AI question generation from a PDF or Word upload converts an existing document — a policy manual, a textbook chapter, a curriculum outline — into a deployable question set without manual authoring, so a compliance officer or curriculum lead skips the part of exam creation that takes the most time. Audio and video response capture runs entirely in the browser with no third-party tool, which means therapists collecting intake responses or HR teams running soft-skill screens get recorded answers stored alongside scored results in one place rather than stitching together a quiz tool and a video platform. Tab-switch detection, randomised question order, and time-boxing operate as a layered anti-cheat stack, so schools and certification bodies running unproctored remote exams get a defensible fairness posture without adding a separate proctoring subscription. Bulk CSV question import lets teams migrate hundreds of existing questions from a spreadsheet in a single step, which means switching from a legacy system does not require rebuilding an entire question bank by hand. Multi-role organisation management with role-based access means tutors see their cohorts, students see their assigned assessments, and administrators see everything — without custom permission configuration per user.	Step-by-step guided explanations for submitted problems, so students can trace exactly where their own reasoning diverged from the correct method — rather than just getting a final answer they cannot learn from. Credit rollover on paid tiers, which means a student who has a light week does not forfeit capacity they paid for before an exam crunch arrives. Covers formula lookup and method reference alongside full problem solving, so a student does not need to switch between a separate reference sheet and a solver mid-session. No setup, installation, or account infrastructure beyond sign-up — which means the tool is accessible during exam prep without an IT request or software approval process.
Cons	Open-ended written responses are not auto-graded: every short-answer or essay-type question requires a human reviewer to open the result, read the response, and assign a score. At exam volumes above a few dozen participants, this becomes a manual bottleneck that defeats the purpose of running assessments at scale. Teams needing automated written-response scoring evaluate platforms with built-in rubric-based or AI grading engines. There is no self-hosted or on-premises deployment option. Assessment data — including therapy intake recordings, HR screening responses, and student scores — is processed and stored on ExaminerOS infrastructure. Organisations subject to HIPAA, FERPA, or data residency regulations that require processing within a specific jurisdiction have no compliant path on this platform and move to self-hostable alternatives. The assessment library and template system are described but the platform provides precious little detail about how templates are versioned, whether subject-area coverage is independently verified, or how curricula-specific templates are kept aligned with exam board changes — meaning educators who clone a template for a high-stakes exam carry the validation burden themselves.	The free tier caps submissions at seven per month — a student working through a problem set the week before finals exhausts that allocation in a single sitting, then faces a paywall or a month-long wait. No API access exists, so any team — a tutoring platform, an EdTech product, a teacher building a homework helper — that needs to programmatically submit problems or retrieve responses cannot use this tool at all. They switch to an LLM provider with a direct API (OpenAI, Anthropic, or equivalent) and build their own prompt layer. There is no self-hosted option, which means schools or districts with data residency requirements or student privacy policies that prohibit third-party cloud processing cannot deploy this tool for classroom use, regardless of how well it performs on the problems themselves.

Bottom line

ExaminerOS and Physics AI are closely matched on pricing model, openness, and API availability — pick by feature set and platform support in the table above.

Frequently asked questions

What is the difference between ExaminerOS and Physics AI?

ExaminerOS is Paid, while Physics AI is Paid. Compare pricing, free trial, API, platforms, and pros/cons in the table above on AIDiveForge.

Is ExaminerOS better than Physics AI?

It depends on your workflow. Use the side-by-side attributes (pricing, open source, API, self-hosted, platforms) to decide. AIDiveForge does not rank a universal winner — we publish verified facts so you can choose.