Resources
Everything you need to get started with Semarize
We've pulled together practical guides, operational playbooks, and integration walkthroughs to help you get conversation data out of your stack, structure it, and put it to work with Semarize.
25+
Data source guides
5
Automation platforms
37
Operational playbooks
14
CRM & database guides
Whether you're exporting call recordings for the first time, wiring up an automation pipeline, pushing structured signals into your CRM, or deploying a full evaluation playbook - start here.
Get Your Data
Step-by-step guides for getting your calls, emails, and chats out of the tools you already use - APIs, bulk exports, permissions, and supported formats.
Automation
Connect transcript pipelines to your automation stack - trigger analysis on new calls and route structured output to CRMs, Slack, or databases.
CRM & Data
Push structured conversation signals into your systems of record - CRMs, warehouses, and databases instead of raw transcripts.
Playbooks
Ready-to-deploy kit stacks for sales coaching, RevOps, customer success, QA & compliance, AI evaluation, and data science. Pick a use case and start using it instantly in Semarize.
Blog
Perspectives on conversation intelligence, AI evaluation, and building systems that extract signal from unstructured data.
Latest writing
How to Score Sales Calls with Jev
What Jev means for your sales scorecards, answer quality and discovery gaps, and why company knowledge matters as much as the model making the judgement.
Latest writing
2026 Transcript Analysis APIs: Structured Extraction, Ingestion Mechanics, and the Comparison That Actually Matters
Most teams don't fail at transcript analysis because the model is bad. They fail because the API can't turn transcripts into the structured fields their workflows need at predictable cost. This comparison covers what to evaluate: structured extraction, NLP output fit, ingestion mechanics, and pricing you can forecast before you commit to volume.
Latest writing
From Raw Transcripts to Durable RevOps Signals: Pipeline Health, Rep Performance, and Buyer Engagement
Raw call transcripts are archives, not RevOps signals. The schema-first approach starts from the questions forecasting and capacity planning actually need answered, defines the structured extraction targets that would answer them, and builds a pipeline that lands durable, queryable fields in the data warehouse and CRM.