AI Generated Timelines with Event Viewpoint

 

Build a Complete Historical Timeline in Under 10 Minutes with AI

Forget hours of manual data entry. Here's how to turn any article, Wikipedia page, or research document into a stunning EventViewpoint timeline — now with linked Wikipedia articles and images, instantly.

EventViewpoint Blog·7 min read·AI Timelines, How-To·Updated October 2026

AITimelinesProductivityBulk ImportWikipediaChatGPTClaude

Creating a detailed historical timeline used to mean hours of tedious work — reading through source material, pulling out dates, reformatting everything, and entering events one by one. Not anymore.

With a single copy-paste prompt and any modern AI assistant (ChatGPT, Claude, Gemini — take your pick), you can extract every chronological event from a Wikipedia article or research document and have it formatted and ready to import into EventViewpoint in minutes. Here's exactly how to do it.

What's new

Bulk import now takes two more kinds of columns: a Wikipedia URL that links each event to its Wikipedia article, and any number of image URLs that are downloaded and added to the event automatically. The prompt below has been updated to fill them in.

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Why this changes everything for timeline creators

EventViewpoint's bulk import feature accepts a structured CSV file with 16 core fields per event — dates, titles, descriptions, locations, colors, and more — plus a Wikipedia link and as many image links as you like. In the past, building that CSV by hand was a significant barrier. Now, AI does the heavy lifting.

Whether you're building a timeline of World War I, your company's founding history, a patient's medical journey, or a true crime case — if the source text exists, the timeline can be generated in seconds.

"If the source text exists, the timeline can be generated in seconds."

What you'll need

• A free EventViewpoint account
• Access to any AI chat tool (ChatGPT, Claude, Gemini, etc.)
• A source text — Wikipedia article, news story, research paper, anything works
• About 5–10 minutes

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Step-by-step: from raw text to live timeline

01

Find your source

Copy the text from any article or Wikipedia page. The more events mentioned, the richer your timeline.

02

Run the AI prompt

Paste the prompt below into your AI of choice, along with your source text.

03

Copy the CSV

The AI outputs a clean, ready-to-import CSV block — including Wikipedia and image links. Save it as a .csv file.

04

Bulk import

Open your timeline, click Bulk Edit Events, load the file and press Save. You'll see each event being added, one by one.

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The prompt (copy this exactly)

This prompt is engineered specifically for EventViewpoint's bulk import schema. It handles tricky edge cases like commas inside fields, empty values, and long descriptions automatically — and now asks the AI for each event's Wikipedia article and image links.

AI prompt — paste into ChatGPT, Claude, Gemini, etc.

Act as a data formatting assistant. Extract all chronological events from the source text provided below and format them strictly as a raw CSV file using EventViewpoint's bulk import schema:

StartDate,StartTime,EndDate,EndTime,Title,Text,Abstract,Street,City,State,Zip,Country,Lattitude,Longitude,Location Notes,Color,Wikipedia URL,Image URL 1,Image URL 2,Image URL 3

Requirements:
1. Use YYYY-MM-DD format for all dates.
2. Preserve the exact column order shown above.
3. Keep all commas intact, even when fields are empty.
4. Wrap any field containing commas, quotes, or long descriptions in double quotes.
5. Do not add explanations, markdown, or extra commentary.
6. Output ONLY the raw CSV data inside a single code block.
7. Leave unknown values blank.
8. Generate one row per historical event.
9. Keep event titles concise but descriptive.
10. Include detailed event descriptions in the Text column.
11. Wikipedia URL: if an English Wikipedia article exists specifically about this event, put its full URL (https://en.wikipedia.org/wiki/...). Only use articles you are sure exist; otherwise leave it blank.
12. Image URL columns: only include direct links to image files (ending in .jpg, .jpeg, .png or .gif) that appear in the source text or that you are certain exist. Never invent image URLs. Leave them blank if unsure. You may add more Image URL columns at the end of a row if an event has more than three images.

Source text to parse:
[PASTE ARTICLE OR RESEARCH TEXT HERE]

Pro tip

For the best results, replace [PASTE ARTICLE OR RESEARCH TEXT HERE] at the bottom of the prompt with your actual source text before hitting send. The AI will handle the rest.

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Understanding the CSV schema

EventViewpoint's import format is flexible — you don't need to fill every column. Normally the only essential fields are StartDate and Title. If a row has a Wikipedia URL, even those can be left blank: EventViewpoint fills them in from the article when it can. The AI will leave blank anything it can't confidently extract.

#	Column	Format / Notes
1	StartDate	YYYY-MM-DD — required, unless you provide a Wikipedia URL the date can be read from
2	StartTime	HH:MM — leave blank if unknown
3	EndDate	YYYY-MM-DD — for multi-day events
4	EndTime	HH:MM — optional
5	Title	Short, descriptive event name — can be left blank when a Wikipedia URL is provided
6	Text	Full event description — wrap in quotes if long
7	Abstract	Brief one-line summary
8–12	Street / City / State / Zip / Country	Location details — AI fills these from context
13–14	Lattitude / Longitude	Coordinates — AI can infer from city/country
15	Location Notes	Any extra location context
16	Color	Hex code for visual grouping (e.g. 4682D5)
17	Wikipedia URL New	A full Wikipedia article link, e.g. https://en.wikipedia.org/wiki/Apollo_11. The event shows the article, and any blank title, abstract or dates are filled in from it.
18+	Image URL 1, Image URL 2, … New	One direct image link per column, as many columns as you need. Each image is downloaded and added to the event. JPEG, PNG or GIF, up to 20 MB each.

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New: Wikipedia links and images

Two new kinds of columns come right after Color:

• Wikipedia URL (column 17) — works exactly like the Wikipedia button in the event editor. The event displays the full Wikipedia article, its lead image becomes the event's picture, and any title, abstract or dates you left blank are filled in from the article.
• Image URLs (column 18 onwards) — put one image link in each column, as many as you need. EventViewpoint downloads each image and adds it to the event's gallery, just like uploading it yourself. Images must be JPEG, PNG or GIF and under 20 MB.

A row can be as simple as a single Wikipedia link. For example, this row creates a complete "Apollo 11" event with its title, dates, summary, article and picture:

,,,,,,,,,,,,,,,,https://en.wikipedia.org/wiki/Apollo_11

Heads up

AI assistants sometimes guess links that don't exist. The prompt tells the AI to leave a link blank if it isn't sure — but it's still worth spot-checking a few Wikipedia and image links before you import. If a link doesn't work, that event is marked in red after saving and the rest still import.

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Try it: World War I as an example

The Wikipedia page for World War II is a perfect test case. It's densely packed with dated events spanning 1919–1945 — exactly the kind of source text AI handles brilliantly.

Copy the article text, drop it into the prompt above, and within seconds you'll have dozens of rows covering everything from the Paris Peace Conference to Japan Announces Surrender — with city and country fields auto-populated from the source, and each event linked to its own Wikipedia article.

What you get

A clean CSV with events like "Paris Peace Conference" (01-18-1919, Paris, France, linked to its Wikipedia article) through to "Japan Announces Surrender" (08-15-1945, Tokyo Bay, Japan) — all formatted and ready to import with one click.

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Great use cases for AI-generated timelines

• Historical research— Turn any Wikipedia article into an interactive timeline in minutes, with every event linked to its own article
• Company histories— Convert a "Our Story" page or press release archive into a timeline for your About page, complete with product photos
• Education— Teachers can generate timelines from textbook chapters for classroom use
• Legal and case timelines— Build a chronology from court documents or case notes instantly
• Personal milestones— Drop in a journal, scrapbook text, or family history narrative, with links to your photos
• News and current events— Paste a long-form investigative article to map the sequence of events
• Scientific discoveries— Trace the timeline of a scientific field from a research paper

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Importing your CSV into EventViewpoint

Once you have your AI-generated CSV, importing it takes just a few clicks:

1. Save the CSV output to a .csv file, or paste it directly into a text editor and save as .csv
2. Log in to EventViewpoint and open your timeline
3. Click the Bulk Edit Events button in the timeline toolbar (next to Edit)
4. Click Bulk Load and choose your file
5. Review the rows — scroll right to see the Wikipedia Link and Image Links columns. Rows that need fixing are highlighted.
6. Press Save

EventViewpoint saves your events one at a time, so even very large timelines import reliably. While it works you'll see progress like Adding event 3 of 40, along with the event's name and what it's doing — reading the Wikipedia article or uploading image 2 of 3.

When it's done you get a summary. If everything worked, your timeline refreshes with all the new events. If anything failed — a broken image link, say — those events are marked in red with the reason, the rest are already saved, and you can fix the problem and press Save again to retry just those.

That's it. Your entire timeline populates in one shot.  Here is an example with all of the Wikipedia articles linked https://eventviewpoint.com/timeline/47895/timeline what was generated with Claude.

Full documentation on the bulk import feature, including a downloadable CSV template with the new columns, is available at eventviewpoint.com/help/bulkImport.