Leverage the PDF Redaction SDK for advanced PDF redaction with distributed processing, enabling high-performance automated data protection across large document sets.
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Herramienta OnlineStudio (Nube)Studio (Autoalojado)Studio de EscritorioAPI en la NubeAPI AutoalojadaIntegración n8nWidgetServidor MCPPlugin de ObsidianAutomatically detects and redacts PII like names, locations, emails, and dates.
Leverages advanced AI to understand context and make precise redactions.
Powerful OCR technology detects and redacts text in scanned images and PDFs.
Ideal for batch processing — redact thousand of documents programmatically.
Common languages support: English, Spanish, German, Italian, Russian, etc.
Seamlessly integrate with popular data processing frameworks like Pandas and Apache Spark, enabling easy incorporation into existing data workflows and machine learning pipelines.
Install ScaleDP and compose a redaction pipeline in a few lines — load documents into a Spark or Pandas DataFrame, run OCR, and detect PII with NER.
pip install scaledpfrom scaledp import *
spark = ScaleDPSession()
pipeline = PipelineModel(stages=[
PdfDataToImage(),
TesseractOcr(),
Ner(model="d4data/biomedical-ner-all"),
])
result = pipeline.transform(df)Documents never leave the browser — all OCR, NER, and redaction runs entirely client-side.
Models execute locally over WebAssembly or WebGPU, with no server round-trip.
PaddleOCR text recognition detects text in scanned images and PDFs.
GLiNER lets you define entity types like "person" or "email" at call time — no retraining.
YOLO-based detectors locate signatures and faces for redaction.
Import only what you need (/pdf, /ocr, /ner, /detect) and chain stages with a simple Pipeline API.
Install @stabrise/scaledp and compose the same kind of pipeline entirely in the browser using onnxruntime-web.
npm install @stabrise/scaledpimport { Pipeline } from '@stabrise/scaledp'
import { PdfToImage } from '@stabrise/scaledp/pdf'
import { PaddleTextRecognizer } from '@stabrise/scaledp/ocr'
import { GlinerNer } from '@stabrise/scaledp/ner'
const pipeline = new Pipeline([
new PdfToImage({ resolution: 300 }),
new PaddleTextRecognizer({ preset: 'v6-small' }),
new GlinerNer({ labels: ['person', 'email', 'phone'] }),
])
const rows = await pipeline.transform(file)Start integrating our PDF redaction SDK. Connect with our lead ML/Data engineers today to discuss your most complex redaction and data processing challenges.