惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

博客园 - 叶小钗
MyScale Blog
MyScale Blog
博客园 - 【当耐特】
I
InfoQ
腾讯CDC
aimingoo的专栏
aimingoo的专栏
L
LangChain Blog
人人都是产品经理
人人都是产品经理
D
DataBreaches.Net
freeCodeCamp Programming Tutorials: Python, JavaScript, Git & More
Engineering at Meta
Engineering at Meta
A
About on SuperTechFans
Google DeepMind News
Google DeepMind News
Vercel News
Vercel News
C
Check Point Blog
B
Blog RSS Feed
Cyber Security Advisories - MS-ISAC
Cyber Security Advisories - MS-ISAC
美团技术团队
Stack Overflow Blog
Stack Overflow Blog
Y
Y Combinator Blog
D
Docker
MongoDB | Blog
MongoDB | Blog
量子位
博客园_首页

DEV Community

Authentication Security Deep Dive: From Brute Force to Salted Hashing (With Java Examples) Why AI Systems Don’t Fail — They Drift Spilling beans for how i learn for exam😁"Reinforcement Learning Cheat Sheet" I Replaced Chrome with Safari for AI Browser Automation. Here's What Broke (and What Finally Worked) How Python Borrows Other People's Work The $40 Architecture: Processing 1 Billion API Requests with 99.99% Uptime Vibe Coding: A Workflow Guide (From Zero to SaaS) Most webhook security guides protect the wrong side. The scary part is delivery. Headless CMS for TanStack Start: Build a Blog with Cosmic EU Age Verification App "Hacked in 2 Minutes" — What Actually Happened Comfy Cloud’s delete function does not actually remove files Running AI Models on GPU Cloud Servers: A Beginner Guide Event-driven media intelligence with AWS Step Functions and Bedrock I scored 500 AI prompts across 8 quality dimensions — here's what broke How to Call Google Gemini API from Next.js (Free Tier, No Backend Needed) The Portal Protocol: Reclaiming Human Connection in the Age of AI How to Fix Your Team's Scattered Knowledge Problem With a Self-Hosted Forum Intro to tc Cloud Functors: A Graph-First Mental Model for the Modern Cloud Designing Multi-Tenant Backends With Both Ownership and Team Access I Built a Neumorphic CSS Library with 77+ Components — Here's What I Learned PostgreSQL Performance Optimization: Why Connection Pooling Is Critical at Scale Cómo construí un SaaS multi-rubro para gestionar expensas en Argentina con FastAPI + Vue 3 🚀 I Built an Ethical Hacking Scanner Tool – Open Source Project I Replaced /usage and /context in Claude Code With a Single Statusline A Pythonic Way to Handle Emails (IMAP/SMTP) with Auto-Discovery and AI-Ready Design I Collected 8.9 Million Polymarket Price Points — Here's What I Found About How Markets Really Move EcoTrack AI — Carbon Footprint Tracker & Dashboard Everyone's Using AI. No One Agrees How. 5 self-hosted ebook managers worth trying in 2026 Building Your First AI Agent with LangChain: From Chatbot to Autonomous Assistant
Export Your DeepSeek Chats to Word, PDF, Google Docs, Mar...
mounter · 2026-05-21 · via DEV Community
Cover image for Export Your DeepSeek Chats to Word, PDF, Google Docs, Markdown & Notion in One Click

mounter

I Built a Chrome Extension to Export DeepSeek Chats

I use DeepSeek a lot for:

  1. coding
  2. documentation
  3. research
  4. writing But exporting conversations was frustrating.

Copy-paste usually breaks:

  • code blocks
  • tables
  • formatting
  • Markdown structure

So I built DeepSeek Exporter — a Chrome extension that exports DeepSeek chats into:

  • PDF
  • Word (.docx)
  • Google Docs
  • Markdown (.md)
  • Notion all in one click.

Features
Export entire chats or selected messages

You can export:

  • full conversations
  • only selected messages
  • only prompts
  • only AI responses
  • Markdown support

One feature I cared about most was preserving:

  • code blocks
  • tables
  • headings
  • lists

Useful for:

  • Obsidian
  • GitHub README
  • MkDocs
  • Logseq
  • Direct Notion export

You can push conversations directly into a Notion database.

Good for:

  • knowledge bases
  • research logs
  • AI archives
  • Custom styling

Before exporting, you can customize:

  • fonts
  • heading sizes
  • colors
  • alignment
  • Challenges While Building

Some difficult parts:

  • preserving Markdown formatting
  • converting tables consistently
  • handling nested code blocks
  • keeping exports clean across PDF/Word/Docs
  • Why I Built This

I wanted a faster workflow for saving AI conversations without messy formatting or manual cleanup.

Would love feedback from:

  • developers
  • writers
  • researchers
  • heavy AI users

What export format or integration should I add next?