Apple Inc.

Ryan S Dixon

Jerome Rene Bellegarda

Jeffrey L Robbin

William Martin Bachman

Joe Randall Howard

Bradley William Griffin

Lynne Kress

Benjamin W Keighran

Tiffany S Jon

Imran A Chaudhri

Elizabeth Caroline Cranfill

Jonathan Lochhead

Elbert D Chen

Jennifer L C Folse

Karan Misra

Daniel E Gobera Rubalcava

Joshua K McGlinn

Nicole M Wells

Christopher Brian Fleizach

Eric Taylor Seymour

Devang Kalidas Naik

Gregory F Hughes

Ian M Fisch

Darren Christopher Minifie

Grant R Paul

Imran Chaudhri, Iii

Giulia Maria Pagallo

James Nicholas Jones

Craig Michael Federighi

Xin Ru Wang

Andre Souza Dos Santos

Behkish J Manzari

Nathan De Vries

Thomas Deselaers

Andrew Emilio Platzer

Steven D Baker

Johnnie B Manzari

Srinivasan Venkatachary

Vignesh Jagadeesh

Nima Ferdosi

Marco Zuliani

William John Thimbleby

Jennifer P Chen

Matthias Paulik

Viktor Miladinov

Patrick O Heynen

Neil Gareth Crane

Jeffrey A Brasket

Vincent M Lane

Karl Martin Groethe

Ueli Meier

Jannes G Dolfing

Mei-Qun Xia

Raleigh J Ledet

Nils T Beck

Joel M Lopes Da Silva

Michael M Pedersen, Ii

Dominic L Howell

Ryan N Dour

Adrien Delaye

Brandon J Corey

Jannes G A Dolfing

Joshua Mc Glinn

Youssouf K Chherawala

Martin Bresler

Conrad Rhodes Carlen

Vinay Sharma

Guillaume Borios

Xin Wang

Kellie L Albert

Nicholas D Lupinetti

Linden B Siahaan

Mayank Garg

Pulah J Shah

Peder Blekken

Matthias Dantone

Yang Zhao

Ron C Santos

Kayur Dushyant Patel

Brandon M Tennant

Guangyu Zhong

Chen Ye

Ngoc Hong Pham

Aya Siblini

Adam H Bradford

Francisco Alvaro Munoz

Tianchang Gu

Siyang Tang

Ignacio P Mellado Bataller

Peter Giles Lofting

Rajen Chatterjee

Amittai Axelrod

Jennifer Pon Chen

Sebastien V Marineau-Mes

Adam Huff Bradford

Xishuo Liu

Mallika Priya Khullar

The present disclosure generally relates to handwriting on touch sensitive surfaces. In some examples, text suggestions strokes entered on a touch sensitive surface are viewed and selected in response to a rotatable input mechanism. In some examples, text determined from a set of strokes on the touch sensitive surface is revised based on a subsequently entered stroke on the touch sensitive surface. In some examples, a determination is made whether to include a stroke in a set of strokes based a time between the stroke and the previous stroke. In some examples, determining text based on a set of stroke is interrupted to determined revised text based on the set of strokes and a second stroke.

Handwriting keyboard for screens

The subject technology provides for contextual text lookup for images. When a request is received by an electronic device to perform a lookup or search for text in an image that is displayed at the electronic device, the electronic device may obtain one or more search results, based on the text itself and based on contextual information derived, by the electronic device, from the image. In one or more implementations, application information associated with an application that displays the image may also be used as contextual metadata for enhancing the results of the search for the text from the image.

Contextual text lookup for images

The subject technology receives, at a first position in a user interface, a set of input strokes. The subject technology retrieves information corresponding to one or more graphical elements of the user interface, the information comprising a second position of a text input field in the user interface. The subject technology determines, based at least in part on the first position and the second position that at least a portion of the set of input strokes overlaps at least a portion of the text input field. The subject technology performs handwriting recognition on the set of input strokes to provide a set of characters corresponding to the set of input strokes. The subject technology provides the set of characters for insertion into the text input field of the user interface.

Conversion of handwriting to text in text fields

Aspects of the subject technology include accessing, by an electronic device, a plurality of lines of text data and text attributes corresponding to the plurality of lines of the text data. Aspects may also include, for each respective line of the plurality of lines of the text data, determining whether the respective line and the subsequent line correspond to separate paragraphs within the text data based on a first of the text attributes that corresponds to the respective line of the plurality of lines with a second of the text attributes that corresponds to a subsequent line of the plurality of lines. Aspects may further include generating output data for the plurality of lines and performing at least one process for the plurality of lines of the text data using the generated output data.

Automatic text recognition with layout preservation

In some examples, an electronic device including a touch screen can sense a stylus proximate to the touch screen. For example, the user can draw or write with the stylus to create a simulated drawing or simulated handwriting displayed on the touch screen. In some examples, the electronic device can sense a series of 'points' corresponding to the location of the stylus over time while the drawing/writing input was provided. In some situations, noise in the stylus data can cause the electronic device not to sense one or more noisy points included in the drawing or handwriting input. In some examples, the electronic device can interpolate the noisy points based on sensed points before and/or after the time of the skipped points.

System and method for stylus detection

In some embodiments, a device performs character recognition based on spatial and temporal components of touch input detected on a touch-sensitive surface. In some embodiments, a device provides feedback about handwritten input and its recognition by the device. In some embodiments, a device presents a user interface for changing previously-inputted characters.

Character recognition on a computing device

The subject technology provides for stroke based control of handwriting input. The disclosed stroke based control facilitates selection, copy, paste, search, data detection and other operations for handwritten electronic text. The selection of text represented by handwritten strokes can be performed without drawing a lasso or other loop around the desired text, by using known boundaries of words and phrases in stroke space. Selection of text in this manner allows copy and/or paste of recognized words or phrases, of images of the words or phrases, and/or of the strokes themselves. Boundaries, in stroke space, of actionable data represented by the strokes can also allow action options to be provided when a user interacts with strokes within the boundary.

Stroke based control of handwriting input

The present disclosure generally relates to methods and user interfaces for managing visual content at a computer system. In some embodiments, methods and user interfaces for managing visual content in media are described. In some embodiments, methods and user interfaces for managing visual indicators for visual content in media are described. In some embodiments, methods and user interfaces for inserting visual content in media are described. In some embodiments, methods and user interfaces for identifying visual content in media are described. In some embodiments, methods and user interfaces for translating visual content in media are described.

User interfaces for managing visual content in media

Methods, systems, and computer-readable media related to a technique for providing handwriting input functionality on a user device. A handwriting recognition module is trained to have a repertoire comprising multiple non-overlapping scripts and capable of recognizing tens of thousands of characters using a single handwriting recognition model. The handwriting input module provides real-time, stroke-order and stroke-direction independent handwriting recognition for multi-character handwriting input. In particular, real-time, stroke-order and stroke-direction independent handwriting recognition is provided for multi-character, or sentence level Chinese handwriting recognition. User interfaces for providing the handwriting input functionality are also disclosed.

Managing real-time handwriting recognition

The subject technology provides for receiving a new input stroke. The subject technology determines whether the new input stroke is associated with an existing line group based on a writing direction estimate of the existing line group. The subject technology merges the new input stroke with the existing line group in response to determining that the new input stroke is associated with the existing line group. The subject technology determines a local orientation of the existing line group including the new input stroke based on an estimate of a direction of writing and a scale of each stroke. The subject technology normalizes the existing line group including the new input stroke using the determined location orientation.

Handwritten text recognition

Growing community of inventors

Mountain View, CA, United States of America

Ryan S Dixon