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<h1 align=center><code>paperdown</code></h1>
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<p align="center">
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<a href="https://github.com/atsyplenkov/paperdown/releases">
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<!--<a href="https://github.com/atsyplenkov/paperdown/releases">
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<img src="https://img.shields.io/github/v/release/atsyplenkov/paperdown?style=flat&labelColor=1C2C2E&color=dea584&logo=GitHub&logoColor=white"></a>
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<a href="https://crates.io/crates/paperdown/">
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<img src="https://img.shields.io/crates/v/paperdown?style=flat&labelColor=1C2C2E&color=dea584&logo=Rust&logoColor=white"></a>
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<img src="https://img.shields.io/crates/v/paperdown?style=flat&labelColor=1C2C2E&color=dea584&logo=Rust&logoColor=white"></a>-->
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<a href="https://codecov.io/gh/atsyplenkov/paperdown">
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<img src="https://img.shields.io/codecov/c/gh/atsyplenkov/paperdown?style=flat&labelColor=1C2C2E&color=dea584&logo=Codecov&logoColor=white"></a>
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<br>
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<!--<br>-->
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<a href="https://github.com/atsyplenkov/paperdown/actions/workflows/rust-ci.yml">
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<img src="https://img.shields.io/github/actions/workflow/status/atsyplenkov/paperdown/rust-ci.yml?style=flat&labelColor=1C2C2E&color=dea584&logo=GitHub%20Actions&logoColor=white"></a>
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<a href="https://github.com/atsyplenkov/paperdown/actions/workflows/rust-cd.yml">
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<img src="https://img.shields.io/github/actions/workflow/status/atsyplenkov/paperdown/rust-cd.yml?style=flat&labelColor=1C2C2E&color=dea584&logo=GitHub%20Actions&logoColor=white&label=deploy"></a>
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<a href="https://docs.rs/paperdown/">
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<img src="https://img.shields.io/docsrs/paperdown?style=flat&labelColor=1C2C2E&color=dea584&logo=Rust&logoColor=white"></a>
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<!--<a href="https://docs.rs/paperdown/">
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<br>
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</p>
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- Async OCR requests and batch PDF processing
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- Concurrent figure downloads per PDF
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- Safe overwrite behavior with explicit `--overwrite`
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- Progress display on `stderr` (TTY only)
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- Fast! It takes approximately 25 sec per batch. The speed depends on the z.ai API availability. See
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## Usage
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`paperdown` reads `ZAI_API_KEY` from environment first. If not found, it reads the value from `--env-file`.
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## Cost example
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## Cost
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The tool records token usage in `log.jsonl` under the `usage` field. With pricing at `$0.03` per `1,000,000` tokens, the Batista et al. (2022) paper run with `total_tokens = 79,080` costs `$0.0023724`. That is roughly `0.24` cents per paper.
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The tool records token usage in `log.jsonl` under the `usage` field. With pricing at `$0.03` per `1,000,000` tokens, the average size scientific paper ([Batista et al., 2022](https://hess.copernicus.org/articles/26/3753/2022/)) process with `total_tokens = 79,080` costs `$0.0023724`. That is roughly `0.24` cents per article.

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