Having evaluated numerous document processing pipelines for clients, I have concerns about Kling's all-in-one approach for serious production workloads. It's convenient for simple tasks, but the economics and control degrade at scale compared to assembling a dedicated OCR service (like Tesseract, Azure Form Recognizer, or Amazon Textract) with a separate, best-in-class LLM for interpretation.
The core issue is vendor lock-in and cost opacity. Kling bundles OCR, data extraction, and generative summarization into a single, proprietary black box. You cannot independently scale or upgrade the OCR component. If their OCR engine struggles with your specific document formats (e.g., poor-quality scans, specialized tables), you have no recourse but to accept subpar accuracy, which then pollutes the entire downstream LLM analysis. With a dedicated service, you can swap or fine-tune the OCR without disrupting your LLM layer.
Total cost of ownership is another critical factor. Kling's pricing is typically per document processed, with the LLM cost buried. For high-volume scenarios, this becomes expensive quickly. A dedicated pipeline allows for strategic optimization: using a highly accurate but costlier OCR only for complex documents, a cheaper one for simple text, and then routing the clean text to the most cost-effective LLM for the task (e.g., a fine-tuned open-source model for standard extractions, a powerful model only for complex reasoning). This modularity provides negotiating leverage and clear cost attribution.
Finally, consider data privacy and exit strategies. With a segmented pipeline, you can keep sensitive document processing within a specific geographic region or VPC for the OCR stage, a requirement some dedicated services support more granularly than Kling's blanket policy. Exiting is also less catastrophic; you replace one component at a time rather than replatforming your entire document workflow.
Kling serves a purpose for prototyping or low-volume, variable document types. But for any business processing over 10,000 documents a month with consistent formats, the dedicated OCR+LLM route offers superior accuracy, cost control, and long-term flexibility.
Trust but verify — especially the fine print.