Ekstraksi data dan dokumen

typesafe-computer-use mengubah tujuan tertulis menjadi tindakan di Mac, dengan membaca layar melalui OCR dan kontrol aksesibilitas. TypeSafe Jev memilih tindakan, sasaran, dan situs; kode menghitung fakta, sedangkan model penulis terpisah menangani teks bebas. Diperlukan kunci TypeSafe serta izin perekaman layar dan aksesibilitas. CLI menyediakan simulasi sebelum mengendalikan mouse dan keyboard sungguhan.

JevChat-Windows membaca percakapan WeChat dan KakaoTalk memakai OCR lokal, lalu menampilkan calon balasan di samping chat. Jev menilai maksud dan ketegangan serta mengurutkan tiga kandidat; model bahasa terpisah menulisnya. Atur kunci penyedia keputusan dan penyedia penulisan pada Windows 10 1903+ atau Windows 11.

Pustaka ini mengenali formulir IRS dan jenis halaman dari teks yang diekstrak memakai registri deskripsi formulir JSON. Gunakan classifyPage dengan baris teks, jevBackend, dan criteria.json. Pembantu PDF memerlukan Poppler; backend memerlukan kunci TypeSafe.

DocJev mengklasifikasi PDF, DOCX, dan PPTX atau memisahkan paket menjadi rentang halaman berkategori, dengan ekspor PDF opsional. Pasang dengan uv, tetapkan TYPESAFE_API_KEY, lalu jalankan docjev classify atau split dengan aturan kategori. Format Office memerlukan LibreOffice.

Dokumen diekstrak dan diindeks di Qdrant, kerangka direncanakan, lalu tiap bagian diteliti dari koleksi lokal. Jev menilai dan mengurutkan fragmen serta kekurangan bukti; LLM lain merencanakan, mencari, dan menulis, sementara Python mengatur percobaan ulang.

Data extraction for systematic reviews, quoted from the papers. Ask a trial report and its supplements your extraction form or a RoB 2, ROBINS-I, QUADAS-2 or TIDieR template; Jev points at the lines, every answer is a verbatim quote with its page, you check it and export the table. Files stay in your browser.

A Document OCR Router to help route pages based on content.

Open-source macOS AI computer use and native GUI automation on Apple silicon. Jev + OmniParser CoreML + Apple Vision OCR. Bring your own OpenRouter, Vercel AI Gateway, or TypesafeAI token.

Use Jev (TypeSafe's System One model) as a calibrated reranker: one call, up to 30 documents, a probability per document. Apache-2.0.

Route form submissions to the right people with Jev and AI SDK.

Windows 微信回复助手（非官方修改版）：本地离线 OCR 读屏 + 模型起草候选回复 + 一键填入微信输入框，可选自动发送。不 hook、不注入、不读微信数据库。

DeepSeek + TypeSafe JEV 微信回复助手：Windows 正式版、Apple Silicon macOS 预览版；本地 OCR 与人工可控回复

JEV Document Classification enables the rapid and cost-effective classification of text-based documents using AI, leveraging TypeSafe's "System One" model.

DeepSeek Harness (dsh) 插件:论文伴读工作台 —— PDF 转录 / 检索 / 流式问答 + 内置阅读器页面。

Semantic code and document search CLI — BM25 recall + TypeSafe Jev calibrated precision

Ask a PDF in your own words and watch the matching lines light up. React + pdf.js + TypeSafe Jev.

Local-first document evaluation workspaces powered by Jev

.NET client for TypeSafe System One (Jev) — typed questions in, typed answers with probabilities and confidence out. No prompt engineering, no output parsing.

Natural-language MCP tool dispatcher powered entirely by TypeSafe's Jev — no general-purpose LLM. Discovers a simple MCP server's tool signatures at runtime and uses Jev's typed primitives (Choice/Noul) to pick the right tool and extract its arguments straight out of the sentence.

A browser form for building requests to TypeSafe's Jev: pick a template, fill in the blanks, copy the request. No JSON, no install, runs locally.

An open-source, AI-powered resume builder designed to craft high-impact resumes. Features smart content enhancement using the STAR method, instant PDF previews, and seamless export. Built with Django, Htmx, OpenAI, and WeasyPrint.

MCP-first toolkit for TypeSafe/Jev — the System One decision model. One stdio server (jev mcp) serves any MCP-capable harness, backed by one local event log and Prometheus impact metrics you can scrape into your own Grafana.

Parsing the PDF and extracting the relevant information

Text/PDF - File categorization and sorting with Typesafe AI Jev or local calibrated decision model