An Amazon Transcribe demo to produce a Microsoft Word document containing the turn-by-turn transcription of the audio. This will include additional metadata depending upon the options selected, such as caller sentiment, category identification and issue detection
Rich Communication services (RCS) integration with Enterprise Unified Communicator on sipml5 (webRTC)
中文开源、自部署的电话外呼系统 / SIM 外呼 CRM，支持客户资料管理、批次导入、坐席分配、Android 双卡拨号和通话统计。
AI quality assurance for sales calls
Self-hostable admin dashboard for open-source LiveKit, modeled on the LiveKit Cloud console: rooms, sessions, call history, SIP trunks, dispatch rules, egress, ingress, usage and tokens. React + Vite UI with an Express backend that keeps API secrets server-side and records webhook history in SQLite.
Model Context Protocol (MCP) server for the CallRail REST API v3: 57 tools for calls, leads, form submissions, trackers, tags and agency reporting, usable from Claude Code, Claude Desktop, Cursor or any MCP client.
A comprehensive accelerator to help you build a modern contact center solution using Azure Communication Service.
Automate Exotel IVR calling reports with Google Sheets + Apps Script. Auto-aggregates raw call data, builds branded dashboards, and emails Weekly/Monthly reports on schedule — zero cost, zero servers.
Call Quality Analyzer a Python tool that extracts audio from YouTube calls, transcribes speech, and analyzes talk-time ratio, question count, monologue length, and sentiment using Hugging Face Transformers. Built in Google Colab.
AI call auditing SaaS for transcription, quality scoring, review workflows, analytics dashboards, and call-center performance insights.
Скрипт не принимает excel файлы и работает только с БД (диапазоны дат лидов можно настроить в таблице mySQL "call_calculation"). Покажет насколько быстро сотрудники колл-центра или ТТ отвечают на звонки клиентов и перезванивают ли.
Local-first call analytics platform with shared pipeline, pilot-ready API/UI, saved-result history, and on-prem deployment paths
Anonymised call-audit pipeline: local Whisper transcription, evidence-backed LLM classification, and output-shape checks. Under $5 per 100 calls.
AI call intelligence for sales and customer-service teams: diarized transcripts, rubric scorecards where every point cites the audio, coaching, cross-call Q&A and follow-up tasks. Next.js + FastAPI.
AI sales call scoring + CRM: FolderSync to Google Drive to Apps Script to Gemini LLM. Auto-scores 10 salespeople, flags coaching needs, boss dashboard.
A cockpit for AI voice phone agents: containment, conversation quality, peak concurrency and honest per-second telephony billing. Next.js 16, TypeScript, 69 tests.
Support call transcripts → a validated 40-field record, with per-field confidence routed to human review, a cost ceiling checked before work is done, and a promotion gate a weak extractor cannot pass. Offline and keyless.
AI sales call monitoring: automatic scoring, coaching insights, and analytics for every conversation. (Beta)
Open-source conversation intelligence and evidence-backed call scoring powered by LangGraph.
Bitrix24 Marketplace App for advanced call analytics.
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