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scribbl.co

Scribbl records your Meet, Zoom, and Teams calls with no bot in the room, then hands them to ChatGPT and Claude so the work after your meetings gets done. Free forever, 5.0 from 3,000 Chrome reviews.

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Category
Artificial Intelligence
Language
English
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Registered
2019
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Website review

This review may include AI-generated content and is not individually verified. Domain, certificate and other facts come from the observed data on this page.

What is Scribbl?

Scribbl is a Chrome-based AI notetaker for online meetings. Its defining feature is that no bot joins the call: instead of a visible participant announcing itself, it records your Meet, Zoom, or Teams calls from your side and turns them into notes. The notes are then connected to ChatGPT and Claude, so you can ask questions about any past meeting rather than just reading a transcript.

What it actually does

  • Records meetings without adding a participant to the room.
  • Produces notes, including who spoke and when, with a speaker breakdown.
  • Connects those notes to ChatGPT and Claude so you can query your meetings.
  • Aims at the work after the meeting: follow-up emails drafted in your voice, CRM updates, briefs, and scheduling next steps.

Who it suits

The "no bot" approach matters most for people whose calls involve clients, candidates, or external partners, where a visible recording bot can be awkward or unwelcome. If your meetings are internal and everyone is comfortable with a bot, that advantage shrinks, and a conventional notetaker may be just as good.

Trade-offs to weigh

  • Recording is your responsibility. Scribbl's own page notes that recording laws vary by region and that you must have the consent you need from people in your meetings.
  • The AI handoff depends on how well your notes capture context; messy audio or overlapping speakers will limit what ChatGPT or Claude can do with them.
  • The valuable "do the work" features, like drafting follow-ups or updating a CRM, depend on connecting the AI to the tools you already use, which is more setup than simply taking notes.

A practical next step

Try it on one low-stakes call with a colleague first, then ask ChatGPT or Claude a question about that meeting to see whether the notes carry enough detail. If they do, move to a real client call with consent handled up front. For comparison, meeting-recording approaches from Otter.ai and Fireflies.ai typically do join calls as a visible participant, which is the main difference worth testing against your own meeting culture.

How does Scribbl record meetings without a bot joining the call?

Scribbl records meetings locally through a Chrome extension rather than sending a visible participant into the call. Because the capture happens on your machine, there is no "Scribbl Notetaker" attendee in the participant list, no join notification, and no waiting room prompt. The recording is tied to your browser session, so it captures what your computer hears and shows — your microphone and system audio — instead of connecting to the meeting platform's servers as a separate client.

That design has practical consequences worth weighing:

  • No announcement to other attendees. Nothing appears in the participant list or chat, so the meeting flow is undisturbed.
  • You are responsible for consent. Because the tool is invisible to others, recording laws in many regions still require you to inform participants and get permission. Scribbl's own page flags this directly.
  • Dependence on your device. If your machine sleeps, your browser crashes, or your audio routing is wrong, the capture suffers. A server-side bot is more resilient to local hiccups.
  • Platform coverage. The page lists Google Meet, Zoom, and Teams — typically the browser-based versions, since the extension works inside Chrome.

After capture, the transcript is handed to ChatGPT or Claude, which can then draft follow-ups, update a CRM, write a brief, or schedule next steps using the meeting as context.

Next step: before relying on it for a recurring internal meeting, run one test call in each platform you use and check that both your voice and the other participants come through clearly. If your team meets mostly in desktop apps rather than the browser, verify the extension can still capture that audio before committing.

For comparison, bot-based notetakers such as Otter.ai and Fireflies.ai join as visible participants and handle recording server-side, which trades visibility and consent clarity for less dependence on your hardware.

Is Scribbl really free forever, or are there paid plans?

Scribbl is marketed as "free forever" with no credit card required to start, but the site also links to a pricing page. That combination usually signals a freemium model: a genuinely usable free tier alongside paid plans for heavier or team use. The page evidence here only confirms the free-forever claim and the existence of a pricing page; it does not state what the paid tiers include or cost.

What the free claim covers

  • Adding Scribbl to Chrome and recording meetings with no bot joining the call.
  • Notes from every meeting, plus the ability to query those notes through ChatGPT or Claude.
  • No credit card required to begin.

How to decide

If your main need is a bot-free notetaker for individual meetings, the free tier is likely enough to test. If you need shared team libraries, admin controls, or higher usage limits, expect those to sit behind paid plans — check the pricing page directly for the current breakdown.

A practical next step

Run it on one real recurring meeting for a week. Compare the notes against what you'd normally write yourself, and check whether the ChatGPT/Claude handoff actually saves you follow-up work. That tells you whether the free tier is sufficient before you consider paying.

One caveat worth noting: recording consent rules vary by region, and the "no bot" design means other participants may not realize they're being recorded. That's a legal and trust consideration regardless of which plan you choose.

How do I connect Scribbl to ChatGPT and Claude for post-meeting tasks?

Scribbl is built so you don't have to wire up a separate integration yourself: once a meeting is recorded, the notes are handed to ChatGPT and Claude, and you ask those models about the meeting rather than copying transcripts between apps. The connection is the product's core mechanism, not a manual setup step you configure.

What "connected" means in practice

The page describes a three-part chain:

  • The source — a recorded meeting (Scribbl works with Meet, Zoom and Teams).
  • The AI, now connected — ChatGPT or Claude, given the meeting as context.
  • The work, done — a follow-up email drafted in your voice, a CRM update, a brief, or a calendar invite for next steps.

So the practical answer is: install the Chrome extension, let it record your calls without a bot joining, then use ChatGPT or Claude on the resulting notes. Scribbl's role is supplying the meeting context; the models do the drafting and the tool actions.

A realistic first run

Take one recurring meeting you already attend. Record it, then ask your model a single concrete question — "draft the follow-up email to the client, in my voice, listing the two decisions and the date we agreed" — and check whether the output is usable before you rely on it for anything outward-facing. That tests the whole chain cheaply.

Trade-offs worth knowing

  • No bot in the call means nothing announces itself, which avoids the awkward "who invited the bot?" moment, but it also means the meeting's other participants may not realise it's being recorded. The page itself flags that recording laws vary by region and that you must have the consent you need.
  • Model dependency. The quality of post-meeting output depends on ChatGPT or Claude, so your results will track those tools' capabilities and any account limits you have with them.
  • Speaker attribution is shown in the interface (who spoke and when, with percentage breakdowns), which matters if you want the AI to attribute a commitment to the right person rather than blurring it into "the team."

Choosing between this and a bot-based notetaker

If you care most about… Bot-free recording fits A bot that joins fits
Not disrupting the call or guest list Yes Less so
Explicit, visible recording consent Requires your own disclosure Built into the join
Feeding notes into ChatGPT/Claude The stated purpose Depends on the tool

For a team already living in ChatGPT or Claude, the appeal is not the transcript — it's skipping the copy-paste step between the meeting and the work that follows it.

Next step: check Scribbl for how recording works on your specific platform, and confirm your organisation's consent policy before your first recorded call.

Does recording calls with Scribbl require consent from other participants?

Yes. Scribbl's own page states plainly that recording laws vary by region and that you should make sure you have the consent you need from the people in your meetings. Because Scribbl records without a bot joining the call, nothing announces itself — which removes the social cue that normally prompts a "do you mind if I record this?" moment. That makes consent your responsibility to handle deliberately, not something the tool will prompt for.

What that means in practice

  • Consent is a legal question, not a product setting. Scribbl doesn't claim to obtain consent for you; it flags that you need it. Whether it must be explicit or can be implied depends on where you and the other participants are located.
  • One-party vs. all-party rules. Some jurisdictions require only one participant (often you) to consent; others require everyone on the call to agree. Multi-region calls can trigger the strictest applicable rule.
  • The no-bot design shifts the burden to you. With a visible notetaker, participants see it join and can object. With Scribbl, the record happens quietly, so an unannounced recording is more likely to be a problem.

A concrete scenario

If you're a sales rep in a one-party-consent region calling a prospect in an all-party-consent region, the safer path is to assume all-party consent applies. A short spoken line at the top — "I'll be taking notes for accuracy, is that okay with everyone?" — covers you and takes seconds.

Next step

Before your next call, decide your default disclosure script and where Scribbl fits: full disclosure for external calls, internal team norms documented in writing, and a rule for when to stop recording if someone objects. For the legal specifics, check your own jurisdiction's rules or ask counsel — the product page gives the general warning, not legal advice.

If you want a visible-bot alternative for calls where disclosure matters more than invisibility, compare options such as Otter.ai or Fireflies.ai, both of which join meetings openly.

Can Scribbl update my CRM or send follow-ups automatically after a meeting?

Yes — that is the core promise Scribbl makes. Its page describes an AI notetaker that records your Meet, Zoom, or Teams calls without a bot joining the room, then connects the transcript to ChatGPT or Claude so the AI can act on it. The examples given are follow-up emails drafted in your voice, a CRM deal logged and moved forward, a brief written, and next steps scheduled on your calendar.

The important nuance is how it works. Scribbl is described as the piece in the middle: it supplies the meeting transcript and context, and the connected AI plus your existing tools do the actual work. So "automatic" depends on what you have connected and whether you have set up the workflow. It is not a standalone CRM.

H3 Practical test before relying on it

  • Run one real call, then check whether the follow-up draft and CRM entry match what you would have written yourself.
  • Confirm which CRM and calendar tools you can connect, and whether the AI has permission to write to them or only to draft.
  • Decide who reviews outgoing messages. A drafted follow-up in your voice still needs your sign-off on tone and commitments.

H3 Where the no-bot design matters If your clients or candidates react badly to a visible "Scribbl bot has joined" notice, the invisible approach avoids that social friction. The trade-off is consent: the page itself warns that recording laws vary by region, so you must have the consent you need from everyone in the meeting. That is a legal and trust obligation, not a setting.

For comparison, Otter.ai and Fireflies.ai are well-known notetakers that typically join as a visible participant, while Granola is a note tool built around the user's own device. If bot-free recording is your deciding factor, Scribbl is aimed squarely at that.

Next step: start with one recurring internal meeting where a wrong CRM entry is low-risk, verify the output for a week, then expand to client calls once the drafts consistently sound like you.

Related questions

More questions →
How Do Enterprise Teams Adopt Specialist AI Agents Without Disrupting Existing Workflows?

Enterprise teams can adopt specialist AI agents without disruption by starting with one narrow, high-volume workflow, running it as a bounded pilot with human review, measuring against a baseline, and only then expanding. The key is to treat agents as new team members with defined scopes rather than as a replacement for existing tools or a sweeping platform migration. This article explains what specialist agents are, where they fit across common team functions, and a phased approach you can follow.

What Makes an Agent "Specialist" Rather Than General-Purpose

A general-purpose assistant responds to open-ended prompts across many topics. A specialist agent is scoped to one job: it has a defined goal, a limited set of tools and data sources, and a clear definition of "done."

That scoping matters for enterprise teams for three practical reasons:

  • Predictability. A narrow agent produces more consistent outputs, which makes it easier to review and trust.
  • Permission control. You can grant access only to the systems that specific task needs, rather than broad data access.
  • Measurable value. When an agent owns one workflow, you can compare its output against a manual baseline.

A useful rule of thumb: if you cannot describe the agent's job in one sentence with a clear input and output, it is still too broad to deploy safely.

Mapping Team Functions to Agent Use Cases

Most enterprise teams have a handful of repetitive, rules-plus-judgment tasks that are good first candidates. The table below shows typical starting points.

Team Candidate agent task Why it fits
Sales Research and enrich inbound leads before handoff High volume, structured output, easy to verify
Customer success Draft responses to common account questions Repetitive, benefits from consistency
Marketing Repurpose long-form content into channel variants Clear brief, reviewable drafts
HR Screen and summarize applications against criteria High volume, needs audit trail
Operations Triage and route incoming requests Rule-based with clear routing logic

Notice that none of these replace a person's judgment. They compress the repetitive portion so the human spends time on exceptions and decisions.

A Phased Adoption Approach: Pilot, Measure, Expand

Phase 1: Pick one workflow and define success

Choose a task that is high-volume, low-risk, and currently a bottleneck. Write down:

  • The current process, step by step
  • The baseline metric (time per task, volume per week, error rate)
  • What "good output" looks like, with two or three examples
  • Who reviews the agent's work

Phase 2: Run a bounded pilot

Keep the agent inside the existing workflow rather than beside it. For example, the agent drafts; the human sends. Set a review gate so nothing leaves the team unreviewed. Run for a fixed period, such as four to six weeks, with a small group.

Phase 3: Measure against the baseline

Compare the same metrics you recorded in Phase 1. Look for time saved, consistency gained, and — importantly — where the agent failed. Failures tell you whether the scope was right.

Phase 4: Expand deliberately

Only widen scope after the pilot shows a clear, repeatable gain. Expand in one of two directions: more volume of the same task, or an adjacent task with the same data and review pattern. Avoid expanding into a new function and a new data source at the same time.

Handling Workflow Integration Concerns

Data access

Give each agent the minimum access its task requires. Prefer read access plus a single write action over broad permissions. Document which systems it touches so security and IT can review.

Handoffs

Define exactly where the agent stops and a human begins. A simple handoff rule works well: the agent completes the task and flags anything outside its defined scope for a person. Ambiguous handoffs are the most common source of friction.

Human oversight

Decide the review level up front:

  • Full review for anything customer-facing or high-stakes
  • Spot check for internal, low-risk outputs
  • Exception-only review once the agent has a track record

Start stricter than you think you need, then relax as evidence accumulates.

How Roles and Responsibilities Shift

Adopting agents rarely removes roles; it redistributes effort. Expect these shifts:

  • Reviewers become editors. People spend less time producing first drafts and more time improving and approving them.
  • Process owners become agent owners. Someone needs to maintain the agent's instructions, examples, and scope as the business changes.
  • New quality checks appear. Teams need a lightweight way to catch drift — for example, a weekly sample review.

Be explicit about who owns the agent after launch. An unowned agent degrades quietly.

Practical Criteria for Choosing Where to Start

Score candidate workflows against these questions:

  1. Volume: Does it happen often enough to matter?
  2. Risk: What is the cost of a wrong output, and can a human catch it?
  3. Structure: Is the input and output reasonably consistent?
  4. Baseline: Can you measure the current state today?
  5. Ownership: Is there a person who will own the agent after launch?

A workflow that scores well on all five is a strong first pilot. A high-volume task with no clear owner is a poor start, no matter how repetitive it is.

A Simple Pilot Template

You can copy this structure to scope your first agent:

  • Task: [one sentence]
  • Current baseline: [time/volume/error rate]
  • Agent scope: [what it does, what it does not do]
  • Data access: [systems, read/write]
  • Handoff rule: [when it escalates to a human]
  • Review level: [full / spot / exception]
  • Owner: [name]
  • Pilot length: [weeks]
  • Success metric: [target]

Bottom Line

Disruption comes from adopting too much at once, not from agents themselves. Start with one scoped task, keep humans in the loop, measure against a real baseline, and expand only when the evidence supports it. Platforms built around specialist agents — such as Relevance AI, which offers agents for sales, customer success, marketing, and HR — are designed for exactly this kind of task-by-task rollout, so you can add capability without rebuilding your team's existing processes.

Website Overview

An advisory match combined with missing browser safeguards may increase exposure if the affected component is active. Deployment-specific verification and remediation deserve priority. Identifiable technologies and additional version or configuration signals make the service easier to fingerprint, which may help targeted scanners narrow their checks.

Domain and Registration

Registered in 2019, this domain has about 7 years of history. That suggests continuity, although ownership and purpose may have changed. Transfer-protection status is present, helping reduce the risk of unauthorized domain transfers. The registrar is GoDaddy.com, LLC, a widely used domain service provider. The domain uses the common .co extension, which is not an independent safety signal.

DNS and Email

Nameservers are provided by GoDaddy, indicating managed DNS hosting. MX records point to the Google Workspace email service. No CNAME was found; the observed records resolve directly to addresses. SPF and DMARC are configured. DKIM status is unknown. TXT records include verification markers for Google. Such markers may also remain after a service stops being used.

TLS and Certificates

The public key uses EC with 256 bits. The server supplied a complete certificate chain. No organization name is present in the certificate; the available fields are consistent with domain validation. The certificate was issued by Let's Encrypt, commonly associated with automated certificate services. The certificate's total validity is about 89 days, consistent with a short renewal cycle.

HTTP and Browser Security

The response lacks these common security headers: CSP, Permissions-Policy. No X-Powered-By header was found, reducing one common source of backend fingerprinting information. No obvious internal addresses or debug information were found in the headers. The Server header contains the custom value Netlify. No explicit CDN or WAF marker was found in the response headers.

Technology Stack Analysis

The public page identifies Astro 4.16.19, Google Analytics, Netlify, with exact versions exposed for 1 technologies. These details can narrow vulnerability checks, although exposure alone is not a vulnerability. The advisory source OSV places Astro 4.16.19 in the affected range of GHSA-26w7-cxv4-gfx2, GHSA-2pvr-wf23-7pc7, GHSA-376h-93r7-7g6f, GHSA-4g3v-8h47-v7g6, GHSA-5ff5-9fcw-vg88 等 10 项. Verify the deployed version and relevant configuration before drawing conclusions about exploitability. Updating affected components should be a priority.

Search and Social Sharing

The meta description has 199 characters and may be shortened in search results. The Generator tag identifies Astro v4.16.19, making the publishing system easier to fingerprint. Twitter Card metadata is configured. JSON-LD includes Organization data, helping describe the organization as an entity. The title has 49 characters, within a common display range.

Hosting and Email

DNSGoDaddy
HostingNetlify
EmailGoogle Workspace
Approximate IP geolocation (inferred; a CDN or proxy may differ from the origin server) United States flagUnited States Inferred 75.2.60.5

Registration details

RDAP / WHOIS

RegistrarGoDaddy.com, LLC
Registered2019-03-23
Expires2028-03-23
Domain statusclientDeleteProhibited https://icann.org/epp#clientDeleteProhibited、clientRenewProhibited https://icann.org/epp#clientRenewProhibited、clientTransferProhibited https://icann.org/epp#clientTransferProhibited、clientUpdateProhibited https://icann.org/epp#clientUpdateProhibited
Nameserversns51.domaincontrol.com、ns52.domaincontrol.com
DNSSECunsigned

DNS records

DNS

TypeNameValueTTLPriority
Ascribbl.co75.2.60.5600—
MXscribbl.coaspmx.l.google.com36001
MXscribbl.coalt1.aspmx.l.google.com36005
MXscribbl.coalt2.aspmx.l.google.com36005
MXscribbl.coalt3.aspmx.l.google.com36009
MXscribbl.coalt4.aspmx.l.google.com360010
MXscribbl.coaspmx2.googlemail.com360010
MXscribbl.coaspmx3.googlemail.com360010
NSscribbl.cons51.domaincontrol.com3600—
NSscribbl.cons52.domaincontrol.com3600—
TXTscribbl.cogoogle-site-verification=3PwyhU7fRUQAOQdOgSRIPFVhvMniebpmOYLktnQyj3o600—
TXTscribbl.cogoogle-site-verification=z9FPtB25JndcCZLJDrAUxN-SMo7XMmDROn_mFBo7vSM600—
TXTscribbl.cohubspot-developer-verification=MDczNTc2YTctOWQ0NS00NWYwLTk3MWUtNjE1N2E2MDNmZDJk600—
TXTscribbl.coipmkey_9=dac6f67d-903b-4edc-8fe3-95c17fa0cfa7600—
TXTscribbl.cov=spf1 include:_spf.google.com ~all600—
TXTscribbl.cov=spf1 include:spf.mailjet.com include:_spf.google.com ~all600—
TXTscribbl.cozoho-verification=zb15553630.zmverify.zoho.com600—
TXTscribbl.cozoom-domain-verification=ZOOM_verify_ffdc157c769a4c7daf04e2131bb1978c600—
DMARC_dmarc.scribbl.cov=DMARC1; p=none3600—

TLS and certificates

TLS / SSL

AssessmentNormal configuration
Supported protocolsTLSv1.2、TLSv1.3
Negotiated protocolTLSv1.3
Certificate subjectscribbl.co
IssuerLet's Encrypt
Valid until2026-11-25T20:59 · Remaining when checked: 54 days
Verification detailsCertificate trust: Passed · Hostname match: Passed

HTTP response headers

HTTP

HeaderValue
content-typetext/html; charset=UTF-8
cache-controlpublic,max-age=0,must-revalidate
serverNetlify
strict-transport-securitymax-age=31536000
x-frame-optionsSAMEORIGIN
x-content-type-optionsnosniff
referrer-policystrict-origin-when-cross-origin

Identified technologies

Astro 4.16.19Google AnalyticsNetlify

Pages, Search and Sharing

Meta descriptionScribbl records your Meet, Zoom, and Teams calls with no bot in the room, then hands them to ChatGPT and Claude so the work after your meetings gets done. Free forever, 5.0 from 3,000 Chrome reviews.
Canonical URLhttps://scribbl.co/
LanguageEnglish (default)
Twitter Cardsummary_large_image
All bots 1 allowed · 0 disallowed
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