AI Call Center Transcription for Customer Support and Sales Teams

Turn customer support calls, sales conversations, and contact center interactions into searchable transcripts, structured summaries, sentiment analysis, and action-ready insights.

G2Rated 4.7/5 5/5
GDPR Compliant
A female call center agent wearing a headset is shown alongside a customer call summary for Lisa K., detailing a wrong-size shoe order problem and its solution, an integrations panel listing RingCentral, CloudTalk, and Dialpad, and a sentiment analysis breakdown showing 50% positive, 35% neutral, and 15% negative feedback.

Turn Every Customer Support Call into Searchable, Actionable Intelligence

AI call center transcription transforms customer support conversations into structured, retrievable, and operationally useful data. Instead of losing intent, complaint details, sentiment shifts, resolution steps, and agent actions inside raw audio, customer support teams gain transcripts, summaries, and conversation signals they can process instantly. This helps support operations reduce response friction, improve resolution quality, detect repeated customer issues, and create a clearer decision layer for agents, supervisors, and QA teams.

Surface caller history, prior tickets, and account details so agents resolve issues without guesswork.
Convert customer support calls into clean, speaker-separated transcripts with clear context, timestamps, and issue flow.
Send structured summaries, call reasons, and next steps directly into CRMs and ticketing systems.
Identify recurring problems, root causes, and customer friction driving call volume and escalations.
A smiling man with glasses holds a laptop next to a call summary card tagged "Urgent" and "Product," listing key points about a wrong-color dress order, and a call transcript panel showing a timestamped conversation between David M. and Emily P.

Operate with Clarity Across Different Call Center Functions

Extract clear insights from every conversation to speed up decisions, improve coaching, and enhance customer experience.

Resolve Customer Issues Faster

Turn customer support calls into structured transcripts and summaries, so agents and supervisors can identify recurring problems, resolution paths, and friction points without reviewing full recordings.

Increase Customer Satisfaction

Analyze support conversations for sentiment, repeated complaints, and service gaps to improve response quality, reduce customer frustration, and strengthen overall satisfaction.

A woman in an orange turtleneck sweater reviews a laptop while a dashboard displays recurring support issues—login authentication failures, payment gateway timeouts, and image loading errors—alongside a customer satisfaction score improvement from 65% to 92%.

Connect AI Call Transcription with Your Existing Support Stack

Integrate AI call center transcription into your VoIP, CRM, and collaboration tools to capture conversations, distribute insights, and improve customer support workflows without adding operational friction.

RingCentral logo — a bold blue letter "R" inside a rounded orange square frame on a white background.CloudTalk logo — a bold white letter "C" with a speech bubble tail on a blue background.

VoIP

Automatically transcribe customer support and sales calls from cloud telephony platforms to capture every conversation with accurate, searchable records.

Salesforce logo — a white cloud shape with the word "salesforce" written in white on a blue background.HubSpot logo — an orange and red gradient sprocket-and-magnet icon representing the HubSpot CRM platform, on a dark background.

CRM

Sync transcripts, summaries, and customer interaction insights into CRM systems so teams can preserve context, track outcomes, and improve follow-up quality.

Slack logo — a multicolored hashtag-style icon made up of four speech bubble shapes in red, yellow, green, and blue, representing the Slack team communication platform.Notion logo — a bold black letter "N" on a white cube graphic against a black background.Google Drive logo — a triangular icon composed of red, green, yellow, and blue segments on a dark background.

Collaboration

Share call transcripts, summaries, and support intelligence across internal workspaces to support quality assurance, agent coaching, and faster decision-making.

A grid of integration logos on a blue background, with Hubspot and Slack shown as "Connected" and RingCentral showing a "Connect" button being clicked. Other visible integrations include Microsoft Teams, Monday.com, Dialpad, CloudTalk, Salesforce, HubSpot, Notion, OnePassword, Google Drive, and Intercom.
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Enterprise-Grade Security for AI Call Transcription and 
Customer Data

Protect customer support conversations with enterprise-ready security, controlled data access, and compliant data handling. Store call transcripts, summaries, and conversation records in a secure environment designed for privacy, governance, and operational trust across customer support and sales teams.

GDPR Compliant Transcription
ISO 27001 Transcription Security
SSL Secure Transcription
AICPA SOC Compliant Transcription
HIPAA Compliant Transcription

Hear it From Our Users

"Transkriptor eliminated the hours we spent manually reviewing calls for quality assurance. Our supervisors now review twice as many interactions in half the time, and coaching sessions are more specific because we can reference exact conversation moments."

Sarah Jenkins

Sarah Jenkins

Quality Assurance Manager

Frequently Asked Questions

AI call center transcription is the process of converting customer calls into searchable text so teams can review conversations, detect patterns, and extract business insights.

It captures the call audio, separates speakers, converts speech into text, and structures the conversation for analysis, review, and quality monitoring.

It helps teams understand customer intent, reduce missed details, improve quality assurance, and turn large volumes of calls into usable data.

Support teams, sales teams, quality assurance teams, compliance teams, operations teams, and contact centers with high call volume can all benefit from it.

Call transcription turns speech into text. Call analytics interprets that text to identify patterns such as sentiment, objections, intent, resolution issues, and agent performance.

Yes. It helps teams identify recurring complaints, customer friction points, successful call flows, and areas where agents need better support.

Make Customer Calls a Source of Operational Insight