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AI · alternatives · 2026

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24 alternatives to Segmed De-ID, an LLM-Based Data De-Identification Playground

This prototype makes use of Open AI’s davinci model to identify and subsequently redact potential protected health information (PHI) or personal identifying information (PII) within the provided input. The output will be a de-identified version of the original input, where both direct and indirect identifiers - like those mentioned above - have been redacted. This ensures that the resulting output is HIPAA compliant, and We encourage you to test and play around with this tool - no input or output data is stored or saved. Feedback is welcomed - let us know what you think either at…

Segmed De-ID is a prototype tool that uses OpenAI's language model to identify and redact protected health information and personally identifiable information from text. Users input content and receive a de-identified… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Segmed De-ID, an LLM-Based Data De-Identification Playground launched in 2023; newer entries below may have overtaken it.

  1. 1

    Hi HN - I made a site that takes a UK postcode, grabs the local MP's information and generates an AI mockup of what their ID might look like. It's a small, silly protest at the stupidity of the Online Safety Act that just came into force. edit - My open AI credits got hugged to death, please use a known postcode (like one from Kier Starmer's constituency, WC2B6NH) in the meantime.

    2025 · use-their-id.com · its alternatives →

  2. 2

    AI powered healthcare bots, integrate & embed with ease

    2024 · quickblox.com · its alternatives →

  3. 3

    New AI models, multi-file upload, & scribing for clinicians

    2024 · compliantchatgpt.com · its alternatives →

  4. 4

    Hi all! This morning, we released a new Apache 2.0 licensed model on HuggingFace for detecting hallucinations in retrieval augmented generation (RAG) systems. What we've found is that even when given a "simple" instruction like "summarize the following news article," every LLM that's available hallucinates to some extent, making up details that never existed in the source article -- and some of them quite a bit. As a RAG provider and proponents of ethical AI, we want to see LLMs get better at this. We've published an open source model, a blog more thoroughly describing our methodology (and…

    2023 · vectara.com · its alternatives →

  5. 5

    The HIPAA-compliant backend for AI builders

    Aug 2026 · knack.com · its alternatives →

  6. 6
    Dummi▲147

    The smart way to generate random data for your projects.

    2016 · dummi.io · its alternatives →

  7. 7

    Hi Hacker News! We’re Vadim and Chris from Highlight.io [1]. We do web app monitoring and are working on using LLMs/embeddings to add new functionality to our error monitoring product. Given that there’s a lot of founders/engineers using LLMs in their products, we figured we’d share how we built the new functionality, their impact on our workflows, and how you can try it out. Our goal was to build two features: (1) tagging errors (e.g. deeming an error as “authentication error” or a “database error”); and (2) grouping similar errors together (e.g. two errors that have a different…

    2023 · github.com · its alternatives →

  8. 8

    The first comprehensive 3D annotation tool for healthcare AI

    2022 · encord.com · its alternatives →

  9. 9

    Protect your digital identity in real-time. Loti AI stops AI impersonation, deepfakes, and fraud before they can spread or cause damage.

    2023 · goloti.com · its alternatives →

  10. 10

    Advanced Bloom Filter Based Algorithms for Efficient Approximate Data De-Duplication in Streams - jparkie/PDD

    2016 · github.com · its alternatives →

  11. 11

    Bring joy back to medicine

    2023 · getfreed.ai · its alternatives →

  12. 12

    Build data processing and data analysis pipelines that leverage the power of LLMs 🧠 - anishathalye/semlib

    2025 · github.com · its alternatives →

  13. 13

    We’ve just open-sourced SemHash, a lightweight package for semantic text deduplication. It lets you effortlessly clean up your datasets and avoid pitfalls caused by duplicate samples in semantic search, RAG, and machine learning. Main Features: - Fast and hardware friendly: Deduplicate datasets with millions of records in minutes, on a CPU. - Flexible: Works on single or multiple datasets (e.g., train/test deduplication), and multi-column data (e.g., Question-Answering datasets). - Lightweight: Minimal dependencies (largest is NumPy). - Explainable: Easily inspect duplicates and what…

    2025 · github.com · its alternatives →

  14. 14AL

    Hi HN, I’m one of the maintainers of Bridge Anonymization. We built this because the existing solutions for translating sensitive user content are insufficient for many of our privacy-concious clients (Governments, Banks, Healthcare, etc.). We couldn't send PII to third-party APIs, but standard redaction destroyed the translation quality. If you scrub "John" to "[PERSON]", the translation engine loses gender context (often defaulting to masculine), which breaks grammatical agreement in languages like French or German. So we built a reversible, local-first pipeline for Node.js/Bun. Here…

    Dec 2025 · medium.com · its alternatives →

  15. 15AG

    Hey HN, We just shipped a new AI-powered feature... BUT the "AI" piece is largely in the background. Instead of relying on a chatbot, we've integrated AI (with strict input & output guardrails) into a workflow to handle two specific tasks that would be difficult for traditional programming: 1. Identifying the most relevant base URL from HAR files, since it would be tedious to cover every edge case or scenario to omit analytics, tracking, and other network noise. 2. Generating synthetic data for API requests by passing the API context and faker-js functions to GPT-4. The steps are broken down…

    2024 · docs.multiple.dev · its alternatives →

  16. 16

    100% client-side PII scrubber for safe AI prompting

    Aug 2026 · removemyid.com · its alternatives →

  17. 17

    I built the desktop app that detects and redacts personal data (or PII) locally without sending any text to server. It supports rule-based filtering and AI model-based redaction (eg openai privacy filter). It's open source and free. Please check out the repo and https://pii-gui.vercel.app/

    Jun 2026 · github.com · its alternatives →

  18. 18

    Runtime governance for AI agents. Allow, warn, or block every model and tool call before it commits. Hash-chained audit for every decision. Compliance packs for SOC 2, HIPAA, PCI DSS, EU AI Act, SR 11-7, and FDA CSA. Apache 2.0. - sseshachala/conductai

    Aug 2026 · github.com · its alternatives →

  19. 19

    Deepmark AI enables a unique testing environment for language models (LLM) assessment on task-specific metrics and on your own data so your GenAI-powered solution has predictable and reliable performance. - IngestAI/deepmark

    2023 · github.com · its alternatives →

  20. 20

    Hi HN, I’m a solo dev building a clinical search engine to help my wife (a resident physician) and her colleagues. The Problem: Current tools (UpToDate/OpenEvidence) are expensive, slow, or increasingly heavy with pharma ads. The Solution: I built Evidex to be a clean, privacy-first alternative. Search Demo (GIF): https://imgur.com/a/zoUvINt Technical Architecture (Search-Based RAG): Instead of using a traditional pre-indexed vector database (like Pinecone) which can serve stale data, I implemented a Real-time RAG pattern: Orchestrator: A Node.js backend performs…

    Dec 2025 · getevidex.com · its alternatives →

  21. 21

    Hey HN, Joe and Ethan from Tonic.ai here. We just released a new open-source python package for evaluating the performance of Retrieval Augmented Generation (RAG) systems. Earlier this year, we started developing a RAG-powered app to enable companies to talk to their free-text data safely. During our experimentation, however, we realized that using such a new method meant that there weren’t industry-standards for evaluation metrics to measure the accuracy of RAG performance. We built Tonic Validate Metrics (tvalmetrics, for short) to easily calculate the benchmarks we needed to meet in…

    2023 · github.com · its alternatives →

  22. 22

    ​AI-Powered Interpretation of Blood Test Results in Minutes.

    Nov 2025 · aidiagme.com · its alternatives →

  23. 23

    AI-Powered Healthcare Monitoring for Smarter Care Decisions

    Jan 2026 · its alternatives →

  24. 24

    AI-powered checks to detect phishing and unsafe websites.

    Jan 2026 · veri.im · its alternatives →

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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →