Indora processes documents, video, audio, images, and scanned records automatically. What takes teams days now takes minutes.
2 minutes per page → 15 seconds
3 hours per video hour → 20 minutes
Real-time listening → 10× faster processing
20–30s review → ~1s processing
OCR + redaction in a single pipeline
Labor-heavy workflows turn disclosures into massive operational costs. Indora replaces those hours with predictable usage pricing.
Typical workload: 10k pages + 100 hours video
Usage-based pricing across all modalities
~86% reduction in redaction cost
The real savings compound quickly. Large disclosure workloads can eliminate tens of thousands of dollars in labor while finishing dramatically faster.
Upload your data, let Indora index it, and quickly transform disconnected files into a searchable system that can surface relationships, build evidence chains, and expose gaps humans miss.
POST /v1/index
{
"sources": [
"incident_report.pdf",
"bodycam_footage.mp4",
"dispatch_audio.wav",
"scene_photo.jpg"
],
"graph": true,
"search": true,
"detectGaps": true
}
> Indexing complete
> Entities linked across modalities
> Evidence chain generated
> Missing references flaggedIndora is built to drop into existing workflows without dragging your team into a multi-month integration project. Upload, index, redact, retrieve. Done.
to get indexing, searchability, and multimodal redaction flowing through your system
import { useState } from "react";
export default function QuickStart() {
const [status, setStatus] = useState("Idle");
const handleUpload = async (file) => {
setStatus("Initializing upload...");
const initRes = await fetch("https://api.indoralabs.com/upload/init", {
method: "POST",
headers: { "Content-Type": "application/json" },
body: JSON.stringify({
filename: file.name,
contentType: file.type,
sizeBytes: file.size,
}),
});
const init = await initRes.json();
await fetch(init.putUrl, { method: "PUT", body: file });
await fetch("https://api.indoralabs.com/upload/complete", {
method: "POST",
headers: { "Content-Type": "application/json" },
body: JSON.stringify({
uploadId: init.uploadId,
key: init.key,
}),
});
setStatus("Launching redaction...");
};
return <div>Indora Quick Start</div>;
}
Indora automatically detects and redacts sensitive information across documents, video, audio, and images. Each redaction is linked directly to the policy that justified it and recorded in a full audit trail.
Indora supports documents, PDFs, images, bodycam footage, audio recordings, surveillance video, and other media containing sensitive information that must be redacted before release.
Every redaction links directly to the policy or rule that triggered it. This could be FOIA exemptions, CJIS protections, HIPAA regulations, or custom policies defined by your organization.
Yes. Every detection, redaction decision, and policy reference is logged. This creates a verifiable record that can be reviewed during compliance audits or legal proceedings.
Yes. Organizations can define their own policies and rules to control what information is redacted. Indora supports regulatory frameworks as well as internal policy definitions.
Indora is designed for regulated environments and supports CJIS-aligned infrastructure. Data is encrypted in transit and at rest, and processing environments are designed to minimize exposure of sensitive information.
Indora automates the detection and redaction process, dramatically reducing manual work. Many organizations still perform a final human review before releasing sensitive information.
Yes. Indora provides APIs that allow organizations to integrate redaction workflows directly into existing document management systems, evidence pipelines, or compliance platforms.
Indora uses advanced AI models combined with policy rules to identify sensitive information. Detection results can be reviewed and validated before final output.
You can start by integrating with the Indora API or using the platform interface to upload files and apply policies. Our team can also help configure policies for your specific regulatory requirements.