Leyendo
Read faster, stay in control.
About Leyendo
Leyendo is a calm reading studio for people who want better reading speed, clearer focus, and easier recovery when a dense document starts fighting back.
Leyendo is not another generic speed reading promise. It is a practical reading workspace for PDFs and real documents, built to help you read faster with less friction, stronger focus, and better control over pace, recovery, and context.
Most fast reading content stops at vague tips. Leyendo turns those ideas into an actual product: visible controls, multiple reading modes, a fallback classic view, local-first behavior, and progress that stays with the document instead of disappearing between sessions.
Leyendo is built for that use case, but with more care for comprehension, control, and real documents than most speed reading pages offer.
Leyendo esta hecho para eso, pero con mas cuidado por la comprension, el control y los documentos reales que la mayoria de las paginas sobre lectura rapida.
Public reading paths
The public guides now cover reading speed, fast reading, lectura rapida, and comprehension in both English and Spanish. They give Leyendo a stronger public knowledge surface instead of relying on a single landing page.
Reading speed
A practical guide for people searching reading speed advice that actually works on PDFs, reports, academic papers, and long-form documents.
Read guide
Fast reading
A grounded fast reading guide for people who want to read faster while still understanding arguments, structure, and important details.
Read guide
About the developer
Founder
David Clerc is an entrepreneur and commercial engineer with a master's in finance, broad experience in AI and data science, and a long-standing interest in reading, training, and practical learning systems.
David Clerc built Leyendo to make reading speed training feel grounded in real work instead of gimmicks. The product direction is shaped by long-form reading, practical AI, and the frustration of trying to read dense material with tools that treat every text like a toy demo.