AI Code Extractor: Pull Code, URLs & Tables from Chat
AI code extractor online: extract code blocks, URLs, and tables from AI chat responses with language labels and copy buttons.
Updated 2026-08-16
Related Tools
AI Output Cleaner: Fix Formatting & Remove AI Tics
JSON Validator for LLMs: Fix ChatGPT & Claude Output
Email Extractor: Extract Emails from Text & Files Online
AI Answer Compressor: Trim Filler Words & Save Tokens
AI Content Detector: Check ChatGPT, Gemini & Copilot Text
AI Humanizer: Make AI Text Sound Human & More Natural
Features
- Extract fenced code blocks (``` or ~~~) with automatic language labels, file names, and per-block numbering
- Pull every URL from the conversation, deduplicated while preserving original order
- Extract Markdown pipe tables as structured data, ready to copy as CSV
- Collect bullet and numbered list items, keeping their nesting depth
- Optional extraction of indented code blocks (4+ spaces) and inline `code` snippets
- Toggle each content type (code, URLs, tables, lists) on or off independently
- Section counts show how many items were found in each category at a glance
- Copy any single item, or copy an entire category in one click
- Handles mixed chat content: prose, code, tables, and links in the same message
- Collapsible result sections keep the output panel tidy
- Instant extraction as you type, with live line, character, and size stats
How to Use
- 1Paste a ChatGPT or Claude reply into the left panel, or click an example to see the tool in action.
- 2Use the toggle buttons to choose which content types to extract: code, URLs, tables, and lists.
- 3Code blocks appear in the Code section, each with its language badge, file name, and sequence number.
- 4Click the copy button on any item to grab it alone; code copies with its language fence intact.
- 5Use Copy all in a section header to copy every item of that type at once.
- 6In the Tables section, click Copy as CSV, then paste into Excel or Google Sheets for a clean spreadsheet.
- 7To gather the reference links an AI assistant mentioned, just turn URLs on and copy the list.
- 8Turn on Indented code when your chat contains code pasted without fences, then review the results; indentation-based detection can misfire.
- 9Enable Inline code to also collect short `code` snippets mentioned in prose.
- 10Watch the status bar for line, character, and byte counts while you edit your text.
Frequently Asked Questions
Which code blocks can it recognize?
Fenced blocks opened with ``` or ~~~, with the language read from the opener (```python, ~~~js). A file name after a colon (```js:foo.js) is shown as well. Blocks without a closing fence are still extracted, and content inside code is never scanned for URLs, tables, or lists.
Can code without fences be extracted?
Yes, optionally. Turn on Indented code and lines starting with 4+ spaces are grouped into blocks. Because this is based purely on indentation, prose that happens to be indented can be misjudged, so always review those results before using them.
How does table-to-CSV work?
Click Copy as CSV on a table and each row becomes one CSV line with commas between cells; cells containing commas, quotes, or line breaks are quoted and escaped. Paste the result into Excel or Google Sheets and it becomes a normal spreadsheet.
Are duplicate URLs removed?
Yes. URLs are deduplicated while keeping the order in which they first appeared in the conversation, so a link mentioned three times appears exactly once.
How is this different from the Email Extractor?
The Email Extractor handles a single content type. This tool extracts four types at once (code blocks, URLs, tables, and lists), which covers the structures AI chats are mostly made of, and each type can be toggled and copied separately.
How accurate is the extraction?
Extraction is structure-based: it looks for fences, pipes, separators, and list markers. Complex nesting (like markdown inside a table cell or code inside a list) can be missed or misread, so verify important content before using it.
Can it extract images?
No. Only text structures (code, URLs, tables, lists, inline code) are extracted. Images embedded in a conversation cannot be captured; the tool works purely on the text you paste.
What does the Inline code option do?
It collects short `code` snippets wrapped in single backticks that appear in prose, such as function names or commands. Results are deduplicated and listed one per line.
Are URLs inside code blocks extracted?
No. Everything inside a fenced code block is treated as code, so URLs, tables, and list markers found there are intentionally skipped. This keeps code examples from polluting your extracted lists.
What format does Copy all use for code?
Each block is rebuilt with its original fence and language label, so copying all code gives you ready-to-paste markdown. List items are copied with bullet markers and indentation restored.
Why is a table missing from the results?
Tables are recognized only when a header row is followed by a separator row (| --- |). Two-line tables without a separator, or tables whose rows do not start with a pipe, are not detected. Chat replies sometimes render tables as plain indented text; try Indented code for those.
Can I extract code from a website URL instead of pasted text?
No, the tool works only on the text you paste. For a live website, open the browser DevTools (F12), copy the code from the Elements or Sources panel, or use view-source on the page and paste the relevant part here. The same extraction rules (fences, tables, URLs) then apply to that code.
Can an AI code reader extract code from a screenshot or image?
No. The tool processes text only, so code inside a screenshot or image cannot be read. Run the image through an OCR tool first, then paste the recognized text; code with preserved indentation pastes back well.
Why can't I paste a GitHub repository link to extract its code?
The tool works only on the text you paste; it cannot fetch a GitHub repo or any URL. To extract code from GitHub, open the raw file view (raw.githubusercontent.com, or the Raw button on a file page), select all, copy, and paste it here. The usual extraction rules (fences, tables, URLs) then apply to the pasted content. For a whole repo, clone it locally or use GitHub's code search instead.