Multimodal labeling
Bring text, document, and image classification into a single workflow with unified schema enforcement.
OpenClassifier gives teams a single workspace where reviewers, models, and policy checks stay in sync. It feels like sharing a well-loved notebook — everyone sees the same cues and the next move is obvious.
Built for clarity first. Each view reads like margin notes from a teammate while the APIs stay production-ready.
Drag-and-drop tooling meets API-first ergonomics. Compose reviewer queues, AI assists, and quality gates without leaving the rhythm of your product work.
Bring text, document, and image classification into a single workflow with unified schema enforcement.
Get agreement signals from reviewers, heuristics, and models in milliseconds to catch drifts early.
Blend humans-in-the-loop with active learning and auto-annotation suggestions tailored to each project.
Orchestrate humans and models with the same API surface. Label edge cases in a notebook or wire consensus into production without rethinking your stack.
Label invoices, receipts, and contracts in a single call.
from openclassifier import OpenClassifier
client = OpenClassifier(api_key="sk-demo")
images = client.images.classify(
inputs=[
{"url": "https://assets.openclassifier.ai/invoice.png"},
{"url": "https://assets.openclassifier.ai/contract.png"}
],
labels=["invoice", "receipt", "contract"]
)
for item in images.results:
print(item.label, item.confidence)
Classify conversations and hand them to the right team.
import { OpenClassifier } from "openclassifier";
const client = new OpenClassifier({ apiKey: process.env.OPENCLASSIFIER_API_KEY! });
const message = await client.text.classify({
content: "Courier missed the pickup again — can we reschedule?",
labels: {
intent: ["shipping", "returns", "billing"],
sentiment: ["positive", "neutral", "negative"]
}
});
console.log(message.intent.top, message.sentiment.top);
AI co-pilots nudge reviewers when to look closer, when consensus lands, and when automation can take over.
Ingest tickets, assets, or generated outputs via webhook, SDK, or warehouse sync.
Drag to add human reviewers, auto-labelers, and policy gates for each label class.
Stream structured results back to product, analytics, or monitoring destinations.
Replace duct-taped dashboards with one platform that keeps customers, reviewers, and models aligned.
Classify conversations, support tickets, and surveys with a taxonomy that updates itself as your product evolves.
Detect sensitive imagery, policy violations, or PII leakage in real time with automated triaging.
Label AI generations for tone, safety, and adherence to brand voice with reviewer consensus built in.
We're polishing companion guides, kits, and playbooks so you can onboard reviewers without a scramble.
Dive into endpoints, SDKs, and deployment guides for integrating OpenClassifier.
Explore →DesignDownload the Figma kit with reusable task templates and reviewer UI components.
Explore →GuideA 20-page guide on building consensus-driven labeling workflows with LLM copilots.
Explore →Peek at what ships next and plan your automation journey alongside our team.
Streaming webhooks and response scoring for automated creative approvals.
Out-of-the-box dashboards for drift, agreement, and reviewer calibration trends.
Deploy OpenClassifier behind your firewall with private networking and SSO.
Start free with 3 reviewer seats and 2k AI-assists each month. Scale with predictable per-label pricing and enterprise SLAs when you need them.
“OpenClassifier let us retire three internal tools. The new folio views make it obvious what changed overnight, and our launch reviews run in half the time.”
Riley Chen · Trust & Safety Lead