Relyv.ai vs Loom
Looking for a Loom alternative for bug reports and product walkthroughs? Loom records a video of what happened. Relyv.ai records what actually happened — the DOM, network, console, and AI-written reproduction recipe — in one shareable session.
They capture pixels. Relyv captures every layer of the same session.
| Feature |  | Loom |
|---|---|---|
| Primary OutputReplay the actual page state, not pixels. | DOM + network + console session | Video file (.mp4) |
| AI Reproduction StepsStep-by-step repro recipe generated for you (cloud inference; on-device with the Relyv extension). | Automatic, every session | Manual narration |
| Auto Bug Reports → TicketsLinear, Jira, GitHub, GitLab, Asana, ClickUp, Trello, Notion, Slack, Teams, Discord, HubSpot, Salesforce, email. | 14 trackers, pre-filled | Manual ticket creation |
| Playwright Test GenerationReplay → runnable spec in one click. | Yes | No |
| Console + Network CaptureLoom records pixels — no devtools-state inside the recording. | fetch/XHR/WebSocket/SSE/Beacon | No |
| Mobile Touch + Pinch + Virtual KeyboardWeb Pointer Events + visualViewport keyboard tracking. Pen pressure for stylus apps. | PointerEvent w/ pressure + tilt | Mobile app records its own screen |
| Video / Audio Playback Trackingplay/pause/seek/ended/PiP/fullscreen events from the page itself. | 12 subtypes per element | Records pixels of media |
| Frustration DetectionHeuristic detectors run in-browser; the MLP classifier ranks/scores via Relyv's inference layer (on-device with the extension). Not a feature in Loom. | Rage + dead + scroll-thrash + error-burst | No |
| Marketing Tag ValidatorValidate pixel payloads + Consent Mode v2 in real time. | GA4 / Meta / Segment / GTM | No |
| Stage vs Prod Side-by-SideDiff regression replay — only tool that does this. | Visual + DOM + network diff | No |
| Bug Tracker SyncStatus updates flow back into Relyv. | Bi-directional (14 providers) | Link paste into trackers |
| CRM IntegrationsCreate tickets / Cases with full session evidence. | HubSpot + Salesforce native | No |
| Self-Contained .html ExportOpen in any browser without an account or internet. | Single offline file w/ embedded viewer | Loom-hosted streaming video |
| PII MaskingSensitive data redacted before bytes leave the browser. | On-device Luhn + 12-category regex (SDK); + ONNX/WebGPU GLiNER with the Relyv extension | No structured masking |
| Searchable ReplaysMongo $text + reciprocal-rank fusion across every session. | Hybrid lexical + semantic, Cmd-K | Title + transcript only |
| MCP-Native (Claude / Cursor)Agents call get_session_intelligence as a tool — unique. | Yes | No |
| Install SurfaceRuns inside your product on every user session, not in a separate app. | < 50 kB gzipped <script> tag | Desktop app or Chrome extension |
| Pricing ModelScales with data, not headcount. | Usage-based + 1,000-session free tier | Per-seat |
Comparison based on publicly available product documentation and feature lists from loom.com as of 19 May 2026. Relyv capabilities are implemented in the Relyv SDK + Angular viewer + Go microservices stack. Feature sets may change over time. Visit Loom
The Relyv Advantage
Beyond the video file
Loom captures pixels. Relyv captures the DOM, every fetch/XHR/WebSocket frame, console logs, and stack traces — synced to a unified timeline. Replay the actual page state, not a recording of it.
AI already wrote the ticket
Intent classification reads the user's journey + network failures + console errors and outputs a structured Linear / Jira / GitHub ticket — title, repro steps, evidence packet, and Playwright spec — in one click. Cloud inference for SDK customers (no per-token billing surfaced); on-device via ONNX/WebGPU when the Relyv extension is installed.
Mobile session fidelity
PointerEvent capture (pressure + tilt for stylus), pinch-zoom state machine, virtual-keyboard tracking via visualViewport, plus Service Worker + battery + offline transitions. Loom records the screen; Relyv records the interaction model that produced it.
Self-contained .html export
Every recording can export as one offline HTML file with the viewer embedded inline. Send it to anyone — they open it in any browser, no internet, no account. Loom requires a Loom account; .html exports turn every share into a viral install.
MCP-native for AI agents
Claude, Cursor, and Continue call get_session_intelligence as a tool to query your sessions. No other replay or video tool exposes session data over MCP.
A Closer Look
The "invisible" difference
When a user records a Loom, they often forget to open dev console or share the URL. The Loom captures the screen but loses the technical context. Relyv records silently in the background of your real product — the engineer gets the DOM, network, console, and AI-written repro every time, without asking the user to do anything.
Walkthroughs as well as bug reports
Relyv supports voice + webcam annotation layered on a live, interactive DOM replay. Viewers click through your recorded session at full fidelity instead of scrubbing a video. Loom's strength is unstructured commentary; Relyv's strength is captured product state with optional commentary on top.
On every device your product runs on
Loom is a screen recorder — install required on each user's machine, mobile recording lives in a separate app. Relyv's SDK is a `<script>` tag that captures every session on every device automatically: desktop, mobile web, PWAs, Electron. No install, no user action required.
Common Questions
Is Relyv.ai a Loom alternative for bug reporting?
Yes — Relyv.ai is purpose-built for the bug-reporting use case where Loom is most-stretched. Your users hit a bug; Relyv.ai automatically captures the DOM, network, and console; AI drafts the repro recipe and the ticket. No more "can you Loom that for us?" round-trips.
Can Relyv.ai replace Loom for product and engineering walkthroughs?
For product and engineering walkthroughs, yes. Relyv.ai bundles voice + video annotation on top of a live, interactive DOM replay — viewers can click through your captured session at full fidelity, not just watch pixels.
How is a Relyv.ai replay different from a Loom video?
A Loom is an MP4. A Relyv.ai replay is a serialized DOM scene-graph: pixel-perfect, searchable, zoomable, and replayable at any viewport. You can inspect the network calls, console errors, and even open the captured fetch payloads — none of which a video can show you.
Can my users record a session without installing anything?
Yes. Relyv.ai captures sessions automatically through your existing SDK install — your end users never have to record anything. The "Loom-style" walkthrough mode is a Chrome extension for your internal team only, with one-click ticket-to-Linear/Jira/GitHub.
How does the AI repro recipe work?
The AI reads the DOM mutations, click + input events, and network state, then writes a numbered reproduction recipe ("1. Open /pricing, 2. Click Pro tier, 3. POST /v1/checkout returns 500 with body {…}"). Devs paste it into a ticket as a starting point — no more "what were you doing?" loops.
Does Relyv.ai integrate with bug trackers the way Loom does?
Loom paste-links into bug trackers; Relyv.ai pushes a structured payload. One click attaches the AI repro, console + network evidence, and an auto-generated Playwright test to a new Linear, Jira, or GitHub issue. Status changes round-trip back to Relyv.ai.
Is Relyv.ai GDPR + CCPA compliant for sessions captured from real users?
Yes. PII is masked on-device via 12-category regex + Luhn validation in the SDK (plus ONNX/WebGPU GLiNER deep-scan when the Relyv extension is installed) before any data leaves the browser — emails, credit cards, SSNs, and custom regexes never reach our servers. EU + US data residency available; SOC 2 Type II in progress; full DPA on request.
Can I send a Relyv recording to someone without making them install or sign up?
Yes. Every recording exports as a single self-contained .html file with the viewer embedded inline. The recipient opens it in any browser — offline, no Loom-style account, no internet, no app — and replays the full session including DOM, network, console, and AI summary. Loom requires the recipient to have a Loom account or open a loom.com URL.
Does Relyv.ai handle mobile sessions as well as Loom's mobile app?
Better, for product-bug context. Loom's mobile app records the device screen as a video. Relyv's SDK captures the Pointer Events API (pressure + tilt + pointerType), pinch-zoom state, virtual-keyboard show/hide via visualViewport, Service Worker lifecycle, battery, and online/offline transitions — all the technical context a mobile bug needs, plus a session replay viewer that reconstructs the interaction model rather than just showing pixels.
Can my AI agent query Relyv recordings the way it can't query Loom videos?
Yes. Relyv is MCP-native: Claude, Cursor, and Continue call get_session_intelligence as a tool, ask "what frustrated the user in session X around timestamp Y", and get structured intent + frustration + outcome data back. Loom videos are opaque MP4 streams from an agent's perspective.
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