10. A system for capturing information from a live conversation between an operator and a customer, comprising: a context designator executing on a processor and configured to: designate a context for the live conversation between the operator and the customer wherein the context is a form viewed on a computer screen and actively in use by the operator; obtain a visual cue setting from the operator during the live conversation, wherein the operator sets the visual cue by physically moving a cursor to an information field in the form; monitor the live conversation in response to setting the visual cue, wherein the visual cue triggers the conversion of the live conversation to text; a speech recognition engine executing on the processor and configured to recognize the live conversation as a text portion after converting the live conversation to text; and a document completion engine executing on the processor and configured to: interpret one or more cues in the live conversation, wherein the one or more cues comprises at least the visual cue; relate the one or more cues to the information field associated with the context for the live conversation; and store information obtained from the text portion into the information field within the context, wherein the information obtained from the text portion comprises at least one word spoken after the one or more cues.
10. A system for capturing information from a live conversation between an operator and a customer, comprising: a context designator executing on a processor and configured to: designate a context for the live conversation between the operator and the customer wherein the context is a form viewed on a computer screen and actively in use by the operator; obtain a visual cue setting from the operator during the live conversation, wherein the operator sets the visual cue by physically moving a cursor to an information field in the form; monitor the live conversation in response to setting the visual cue, wherein the visual cue triggers the conversion of the live conversation to text; a speech recognition engine executing on the processor and configured to recognize the live conversation as a text portion after converting the live conversation to text; and a document completion engine executing on the processor and configured to: interpret one or more cues in the live conversation, wherein the one or more cues comprises at least the visual cue; relate the one or more cues to the information field associated with the context for the live conversation; and store information obtained from the text portion into the information field within the context, wherein the information obtained from the text portion comprises at least one word spoken after the one or more cues. 16. The system of claim 10 , wherein the operator manually corrects errors in the stored information while continuing the live conversation.