In some implementations, a computing device can generate user input correction suggestions based on the user's context. For example, the user's context can include content that the user has open or has recently opened on the computing device or another computing device. For example, when the user opens an item of content, the computing device can generate a context dictionary that includes words, phrases, etc., that describe the opened content. When the user provides input (e.g., text, speech, etc.) the computing device can use the context dictionary to generate input correction suggestions. The computing device can synchronize the context dictionary with other computing devices that the user may be using so that the user's context on one device can be used by another device to generate input correction suggestions.