This paper introduces a newly designed general-purpose Chinese document data capture system - Tsinghua OCR Network Edition (TONE). The system aimed to cut down the high cost in the process of digitalizing mass Chinese paper documents. Our first step was to divide the whole data-entry process into a few single-purpose procedures. Then based on these procedures, a production-line-like system configuration was developed. By design, the management cost was reduced directly by substituting automated task scheduling for traditional manual assignment, and indirectly by adopting well-designed quality control mechanism. Classification distances, character image positions, and context grammars are synthesized to reject questionable characters. Experiments showed that when 19.91% of the characters are rejected, the residual error rate could be 0.0097% (below one per ten thousand characters). This finally improved the error-rejecting module to be applicable. According to the cost distribution (specially, the manual correction occupies 70% of total) in the data companies, the estimated total cost reduction could be over 50%.