GetAnnotator VS KeptPDF

GetAnnotator's answer

GetAnnotator stands out because it offers dedicated annotators on a subscription model, eliminating the hassle of hiring, training, and managing annotation teams. Unlike traditional outsourcing, you get a fully managed annotation workflow, including a project coordinator, quality auditing, 24/7 communication, and the ability to scale instantly. Our approach blends the flexibility of an internal team with the efficiency of an external service—ensuring faster delivery, consistent accuracy, and predictable monthly costs.

KeptPDF's answer:

KeptPDF runs entirely in your browser. Your file, and the text inside it, never leaves your device. Not to an AI, not even to us. You can open your browser's network tab and watch: the document bytes never go out.

Most online PDF tools upload your file to a server first, and some "AI redaction" services quietly send your document text to a third-party model. That is the exact risk people are trying to avoid when they redact something.

KeptPDF also does true redaction. The text is removed from the file, not covered with a black box you can copy out later. Every redaction produces a verification certificate you can share with the file.

GetAnnotator's answer

People choose GetAnnotator because we make data labeling simple, fast, and reliable:

• Dedicated annotators assigned within 24 hours
• No hiring, recruitment, or training overhead
• Multi-domain expertise — including image, video, audio, NLP, 3D/LIDAR, medical, finance, and RLHF tasks
• Strict quality control, with a proven accuracy benchmark (~95%+)
• Transparent, predictable monthly pricing
• Scalable resources—add or reduce annotators anytime
• Enterprise-grade privacy and security

Competitors offer annotation — we offer end-to-end annotation management.

KeptPDF's answer:

Three reasons.

Privacy you can verify, not just a promise. Processing happens locally in the browser, so there is no upload step to trust. We do send anonymous usage counts for quota, and we say so plainly, but never your document.

Real redaction with proof. Removed text is permanently gone, and you get a certificate showing the file was checked for leftover extractable text. Automated detection cannot catch everything, so a final human review is still your job, and the tool says that too.

It works on a phone. Most PDF suites assume a desktop. KeptPDF was built and used on a phone first, so redacting a document while you are standing in a hallway actually works.

GetAnnotator's answer

GetAnnotator is built for teams that need high-quality labeled data without operational complexity. Our typical users include:

• AI/ML startups building models
• Enterprises developing computer vision, NLP, or speech AI
• Research labs and academic institutions
• Companies needing domain-specific annotation (medical, legal, automotive, geospatial, etc.)
• Product teams that require ongoing annotation support
• Organizations scaling AI operations without hiring large in-house teams

In short—anyone who needs reliable, managed, and scalable data annotation.

KeptPDF's answer:

Anyone who has to hand a document to someone else and needs the sensitive parts gone first.

In practice that is solo attorneys and small law firms, accountants and tax preparers, healthcare and records staff handling requests, HR teams, and individuals dealing with their own medical, legal, or financial paperwork.

The common thread is not an industry. It is a person who cannot upload a confidential file to a random website, and who does not have an enterprise IT budget to solve it.

GetAnnotator's answer

GetAnnotator was created after observing a common challenge across AI teams: While model development has become easier, getting high-quality annotated data is still slow, expensive, and chaotic.

Companies were struggling with:

• Hiring skilled annotators
• Training them for domain-specific tasks
• Managing quality, timelines, and revisions
• Scaling up quickly for large datasets

This led to the idea of a subscription-based dedicated annotator model—where teams can instantly get trained, managed, high-quality annotators without the burden of hiring.

GetAnnotator was built to remove the friction from data labeling and give AI teams a faster path from concept to production.

KeptPDF's answer:

A family member got seriously ill. We spent most days at the hospital, and straight answers were hard to come by, so we leaned on AI tools to make sense of the records, notes, and lab results.

But you cannot paste a medical record into an AI chat. You have to strip the names, the ID numbers, the diagnoses first. And almost every tool we found either wanted to upload the whole file to a server, or "auto-redacted" by sending the document text to an online AI. That was the exact thing we were trying to avoid.

Most of this was happening on a phone, at a bedside. So I built the tool I needed: redaction that runs on the device, works on mobile, and never sends the file anywhere. That turned into KeptPDF, which is now a full PDF suite with over 20 tools, all local-first.

GetAnnotator's answer

GetAnnotator uses a reliable and modern tech stack designed for speed, security, and scalability. Core technologies include:

• Frontend: React, TailwindCSS
• Backend: Node.js / Express
• Database: PostgreSQL
• Authentication & Access Control: JWT, OAuth
• Cloud Infrastructure: AWS (EC2, S3, RDS), Cloudflare security
• Real-time updates & communication: WebSockets
• Annotation Tools: Custom-built annotation interfaces + integrations with leading annotation platforms Monitoring & Analytics: Grafana, Prometheus

This tech foundation ensures a smooth, secure, and high-performance experience for clients.

KeptPDF's answer:

The app is plain JavaScript with no front-end framework, which keeps it fast and keeps the code auditable.

PDF work happens in the browser using pdf.js for rendering and pdf-lib for writing. Text recognition uses Tesseract running as WebAssembly. Password and encryption handling uses a WebAssembly build of qpdf. It is a Progressive Web App, so it installs and works offline.

The thin server side is Node on Vercel, with Postgres for accounts, Stripe for billing, and Resend for email. None of those ever see a document.

KeptPDF's answer:

KeptPDF is early and independent, and we do not publish customer names. The product is privacy-first by design: we never see your documents, and we do not track who our users are or what they work on. Publishing a client list would sit badly next to that.

The user base today is mostly solo attorneys, small firms, accountants, and individuals handling their own records.