
Drawing People: Learn How to Draw Realistic Figures, Expressive Poses, and Lifelike Portraits (How to Draw Books)
by Lise Herzog
4.4 stars from 168 reviews
Last checked: Jun 19, 2026
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Price range: $1.99 – $13.11
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Fans of these authors will like this...
- Betty Edwards
- Andrew Loomis
- Proko
Fans of these books will like this...
- Figure Drawing for All It's Worth
- Drawing the Head and Hands
- Keys to Drawing
Perfect for you if...
- You're a beginner artist frustrated by stick figures and ready to understand actual human anatomy so your drawings feel real.
- You're an illustrator or character designer who needs to nail proportions, muscle groups, and dynamic poses without hiring a reference coach.
- You've tried other art books but want clear, visual breakdowns that actually show you the structure underneath the skin.
Maybe not for you if...
- You're looking for abstract or stylised figure drawing. This book is all about realism and anatomical accuracy.
- You prefer to learn by doing without structured instruction. These are detailed step-by-step lessons that require following along.
- You need digital art guidance. This is a traditional pencil and paper drawing book.
About this book
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Price History
Kindle price over time. Green zones = periods when the book was free.
Price has dropped 22 times over the last 5 years. Goes on sale roughly every 45 days.
Sales Rank
Amazon sales rank: lower number = better selling book. #1 is the bestseller.
Currently around #31K in the Kindle store — a steady mid-list seller. Climbing the charts — 33% improvement recently.
Rating & Reviews
Purple line = star rating over time. Blue area = total review count growth.
Currently 4.4★ from 168 reviews
Gaining approximately 3 new reviews per month. Rating has remained stable at 4.4 over the tracking period.
Sale Prediction
Actual Predicted
Based on past patterns, a price drop could happen soon. It typically goes on sale every 45 days and the last drop was 119 days ago. Typical discount: 85% off.
Prices shown in USD from Amazon US. We continuously pull new data to improve tracking. If dates look old, it usually means there has been no significant change since the last data point.
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