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ChatterBox is an all-in-one API that makes it easy to integrate your software with leading video conferencing platforms like Zoom, Google Meet, and Microsoft Teams. Whether you're building a meeting bot, automating call insights, or enabling real-time collaboration features, ChatterBox gives you seamless access to real-time transcripts, speaker identification, audio streams, call metadata, and more.
Built for developers, ChatterBox is designed to be simple to integrate, self-serve, and fully managedโso you can launch powerful meeting experiences without the hassle of maintaining infrastructure or dealing with platform-specific quirks.
Real-Time Transcription with Speaker Tags: Live transcripts labeled by speaker for clarity and analysis.
Post-Call Audio + Transcripts: Get full recordings and searchable transcripts immediately after each meeting.
Call Metadata: Access rich context like participant info, timestamps, meeting links, and platform identifiers.
Multi-Platform Support: Works with Zoom, Google Meet, and Microsoft Teams through a unified API.
Webhook Events: Get notified of live meeting events like participants joining, leaving, or the bot being kicked.
Fast Time to Value: Start building in minutes with simple, well-documented APIs.
Lower Cost: Pay-as-you-go pricing with no upfront commitments or hidden fees.
Full Control: Manage your integration through a developer-friendly admin portal.
Zero Ops: Fully managed infrastructure, scaling, and maintenance handled for you.
Flexible Use Cases: Enable everything from meeting bots and note-taking assistants to compliance monitoring and productivity tools.
Whether you're enhancing internal operations or building customer-facing features, ChatterBox gives you the power and flexibility to bring rich meeting data into your product - without complexity.
GitHub Chatter-Box.ioChatter-Box.io's answer:
Software Developers, Software Engineers, Product Managers, Entrepreneurs
Chatter-Box.io's answer:
We founded ChatterBox after developing software that enabled real-time transcription from Zoom for our own projects. What started as a side tool quickly gained traction as we realized how valuable it was for teams needing fast, accurate, and flexible access to meeting content. With our combined backgrounds and built ChatterBox to be a lightweight, developer-friendly API that makes real-time audio and video capture simple. Today, we're on a mission to help developers build smarter, more responsive apps powered by conversation data without the complexity.
Chatter-Box.io's answer:
AWS, Deepgram, GStreamer, NextJS, TypeScipt, MongoDB
Based on our record, GitHub seems to be a lot more popular than Chatter-Box.io. While we know about 2476 links to GitHub, we've tracked only 3 mentions of Chatter-Box.io. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
"""Clones a single branch of a GitHub repository into a temporary directory for local scanning.""" Import logging Import shutil Import subprocess Import tempfile Logger = logging.getLogger(__name__) Class RepoFetchError(RuntimeError): """Raised when the target repository/branch cannot be cloned.""" Class RepoFetcher: """Shallow-clones a single branch of a repository so its tests can be scanned... - Source: dev.to / 1 day ago
# video-meta.yml Topic: > Walking through how we cut cold-start time on a Lambda-backed GraphQL API from 2.4s to under 400ms, including the two things that didn't work. Target_keyword: lambda cold start optimization Audience: backend devs who already ship serverless, not beginners Model_channels: - the three channels currently ranking for this keyword Links: repo: https://github.com/... slides:... - Source: dev.to / 2 days ago
Import struct, json, urllib.request REL = "https://github.com/{owner}/{repo}/releases/download/{tag}/" PART = ["...part1.zip.001", "...part2.zip.002", "...part3.zip.003"] SIZE = [1992294400, 1992294400, 1893639808] # from the releases API Def grab(part, start, end, out): # HTTP range fetch req = urllib.request.Request(REL + PART[part], Headers={"Range":... - Source: dev.to / 7 days ago
Is published at https://github.com/.keys so an SSH server to which you connect could do a reverse lookup. This is the reason why my ~/.ssh/config has those 2 lines at the end:- Source: Hacker News / 14 days agoHost *.
All of this assumes you can actually inspect what the agent did โ the real inputs after resolution, the real tool outputs, the real intermediate steps. That is the other half of the workflow. AgentLens captures the trace: every model and tool step, resolved inputs, raw outputs. agent-eval scores and gates the output; AgentLens gives you the unforgeable, agent-didn't-author trace data for Tier 1+2 to score against... - Source: dev.to / 15 days ago
This article outlines a practical architecture for a Zoom meeting botโbased on our real ChatterBox implementationโthat streams meeting audio over WebSockets, transcribes it in real time, and provides both near real-time and post-call transcripts. Weโll cover Zoom platform options, media capture choices, audio/transcription details, and operational trade-offs. - Source: dev.to / about 1 year ago
Picture this: it's Friday after a week filled with countless online meetings. The details blur, and writing meeting notes is the last thing you want to do. Imagine having a personal bot that joins your meetings, records everything, and emails you concise summaries and action items. In this tutorial, we'll build exactly that using n8n, a powerful low-code automation tool, combined with ChatterBox's meeting bot API... - Source: dev.to / about 1 year ago
Checkout ChatterBox https://chatter-box.io/. An alternative to Recall, but all self-service. - Source: Hacker News / about 1 year ago
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