Baidu OCR vs Reducto
Baidu OCR
ai.baidu.comReducto
reducto.aiSide by side
| Figure | Baidu OCR | Reducto |
|---|---|---|
| Price from | — | Free |
| Free plan | — | Yes |
| Free trial | Yes | — |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | Yes | Yes |
| macOS | — | Yes |
| Linux | Yes | Yes |
| iOS | Yes | — |
| Android | Yes | — |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 4 |
| Spec score · AI OCR Software | 8.5 (#6) | 8.4 (#9) |
| Founded | 2000 | Airframe lists Reducto as established in 2023. |
| Headquarters | Beijing, China | San Francisco, California, United States |
| Support | The OCR page lists technical documentation, SDK downloads, support groups, a售前咨询 channel, and a technical ticket option. | Growth includes priority Slack/Teams and email support, while Enterprise includes dedicated on-call support and a custom SLA. |
Plans
Reducto
- StandardFree
- StandardFree
- EnterprisePriced on request
- GrowthPriced on request
In their own words
Baidu OCR
Baidu OCR recognizes text in images, including printed and handwritten material, and offers more than 70 capabilities for different industries and scenarios. Its structured recognition options cover identity and bank cards, business licenses, household registers, passports, and transport documents. Baidu states that general text recognition and recognition of major certificates and receipts exceed 98% accuracy. Organizations can connect to the public cloud through online APIs or HTTP SDKs. An offline SDK can be integrated into mobile devices such as phones, cameras, and law-enforcement recorders, while private deployments can run on local servers or a private cloud. The private-deployment software is packaged as Docker containers and supports CPU or GPU environments and domestic operating systems. Baidu says it stays within a dedicated network without uploading data to the public internet. The product has no free plan but lists a free test allowance after real-name verification: 1,000 monthly calls for personal accounts or 2,000 for enterprise accounts using General OCR Standard. A shared resource package is listed at 330 CNY, paid once.
Reducto
Reducto provides document parsing, extraction, splitting, classification, and editing to turn files into structured data with citations. Its r-1 parsing model handles layout, tables, figures, and formatting, returning granular citations. The platform supports more than 30 file types, including PDFs, images, spreadsheets, slides, and text documents; its multilingual parsing covers more than 100 languages, including mixed-language documents. Teams can build document pipelines with an API, Python, Node.js and Go SDKs, a CLI, an MCP server, or the visual Studio tool. The MCP server is listed as working with Claude, Cursor, and VS Code. Standard includes 150 USD in free usage, then pay-as-you-go pricing based on products and pages processed: r-1 Parse is 10 USD per 1,000 pages and Extract is 20 USD per 1,000 pages. Reducto states that it is SOC 2 Type II audited and HIPAA compliant. Growth and Enterprise have custom pricing; Enterprise offers VPC and on-prem deployments, and both tiers include a zero data retention agreement.