Preparers perform OCR operation examples

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Examples of using preparers with the PerformOcr operation in AI Accelerator.

Model creation (required)

This step is required for primitive single execution and for preparer bulk execution.

-- Create the model. It must support the perform_ocr operation.
SELECT aidb.create_model(
    'my_paddle_ocr_model',
    'nim_paddle_ocr',
    credentials => '{"api_key": "__NVIDIA_NIM_API_KEY__" }'::JSONB
);

Primitive

-- Keyword arguments
SELECT * FROM aidb.perform_ocr(
    input => decode('/9j/4AAQSkZJRgABAQAAAQABAAD/2wCEAAUFBQUFBQUGBgUICAcICAsKCQkKCxEMDQwNDBEaEBMQEBMQGhcbFhUWGxcpIBwcICkvJyUnLzkzMzlHREddXX0BBQUFBQUFBQYGBQgIBwgICwoJCQoLEQwNDA0MERoQExAQExAaFxsWFRYbFykgHBwgKS8nJScvOTMzOUdER11dff/CABEIAWYDKgMBIgACEQEDEQH/xAAvAAEAAQUBAQEAAAAAAAAAAAAAAQIDBAcIBgkFAQEAAAAAAAAAAAAAAAAAAAAA/9oADAMBAAIQAxAAAADsuKLhCRCRCRCRCRCRCRCRCRCRCRCRCRCRCRCRCRCRCRCRCRCRCRCRCRCRCRCRCRCRCRCRCRCRCRCRCRCRCRCRCRCRCRCRCRCRCRCRCRE2rpTVTUAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAWrtq6U1U1AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAFq7aulNVNQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABau2rpTVTUAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAWrtq6U1U1AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAFq7aulNVNQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABau2rpTVTUAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAWrtq6U1U1AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAFq7aulNVNQAAAAAAAAAAAeS/INiNdjYj8z9MAAAAAAAAAAFJUiQAAAAAAAAA8l60AAAAAAAAAAAAAtXbV0pqpqAAAAAAAAAAESNE617AwD5kdJap+gp5L2PC/459AJ5c/ROko4DxD6EU+I4rPoY+enVJuJzfpI79ngXrU2LT88PfnaEcVfhHek8K9jno6fnrmH0A5c/S5YO89icId3FSOODsiOC847meN4qPoPPzx6iN0zw9hHeD5yeqO8Y+cfeZ6ev5uepO+nzz71OD/AKDfPnsc2BHz7xj6HPBe9AAAAAAAAAAALV21dKaqagAAAAAAAAAABgZ+AcB9U8rddHGO7vC9XHz43/me6NMbI3JxwdYcV9C7HNYbf17pY1f0lo3uI4n3V+3+oaE745D6qNBYHPvdp89uldE78PWb15730as1P+h+cbw2VrDZw4F7757Nd+52Vwsd76d8b6I8H6LZ2sjWvf8AwN9Bjh7qvlbrY0P7bxfuDkP6Q/M/6UnPuDbzzRP6f5npD9GxuT9Y557i576EAAAAAAAAAAALV21dKaqagAAAAAAAAAAB+f8AoDkPrmscZeZ7zHN3ot3jgnI7uHhuRe8xwb0NuwaL5774HEXUXuxzt0HeHCE93DgLq7Z44Rx+9hqWxuEcQ9vRJHMHUA4O/Y7ZGpOWfoCOJMTuYci9cVDmPf8A+6NIei2bQfMjZn5vf5wr2z+kOReivYDgivvMeI9wAAAAAAAAAAAFq7aulNVNQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAiRh5gAAAAAAAAAAAAAAAWrtq6U1U1AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAFq7aulNVNQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABau2rpTVTUAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAWrtq6U1U1AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAFq7aulNVNQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABau2rpTVTUAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAWrtq6U1U1AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAFq7aulNVu2ZDHGQxxkMcZDHGQxxkMcZDHGQxxkMcZDHGQxxkMcZDHGQxxkMcZDHGQxxkMcZDHGQxxkMcZDHGQxxkMcZDHGQxxkMcZDHGQxxkMcZDHGQxxkMcZDHGQxxkMcZDHGQxxkMcZDHGQxxkMcZDHGQxxkMcZDHGQxxkMcZDHFd2xfIgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAIrD//EADIQAAAFBAEEAQMDAgcBAAAAAAABAwQFAgYHERQIEDI0YBIhQBYxNxUXExgiMzZBUTX/2gAIAQEAAQgAM/2IaMaMaMaMaMaMaMaMaMaMaMaMaMaMaMaMaMaMaMaMaMaMaMaMaMaMaMaMaMaMaMaMaMaMaMaMaMaMaMaMaMaMaMaMaMaMaMaMaMaMaMaMaMaMaMaMaMaMaMaMaMaMaMaMaMaMaMaMaMaMaMaMaMaMaMaMaMaMaMaMaMaMaMaMaMaMaMaMaMaMaMaMaMaMaMaMaMaMaMGejIjCn+9R8kr80+1HsJfJK/NPtR7CXySvzT7Uewl8kr80+1HsJfJK/NPtR7CXySvzT7Uewl8kr80+1HsJfJK/NPtR7CXySvzT7Uewl8kr80+1HsJfJK/NPtR7CXySvzT7Uewl8kr80+1HsJfJK/NPtR7CXySvzT7Uewl8kr80+1HsJfJK/NPtR7CXySvzT7Uewl+PWJq+bPtt3Q0mv7s40H92caA8uY2IvtEzEXOsUZCK/FMGYI/w6vsQjr6tGWlFIljTv/v8qvzT7Uewl+PV+32yLgyLyLO0y7qS6V4JjHP3dOLLBaZCuv8Aobk+k6AFiWehYtuM4Fv/AKgRgxVVsEezBjf3BmewRgz0NmCP7gwdX/h1aLY2exv/AMI/uDFVWwZiqrY6nZyZhIi0zjMSvXL7G9ouXdPYx9QIwZ6BfuDq+w+obH1D6h9Q+ob0Nj6hsGMOfzu9HiPqBH+TX5p9qPYS/I0LiPcFOjplL68nBdZJuiqsreWX76v+4lLesZ/jvPVutq5YsIZrf3O8/TNyZ3y5I2OTSFhY7Hud7uaJTJxuRsoYkuNCPuS5L4joCyFrtDGYzJmSQd1xU3B5xxeknLr4ayVXkS3FFHubsyubKqRgYJpYGe7sbUzNdr5ZyDjC4k4a8MgTSieOLgmIiAzpdUPa0qzPEUNll3e8RO3FlDMt0zN0r2jZR4kzyuib6vFOWrzgL0ZWrdFz3JHWlBSM3Jr35ljME8sxgZayc8WEzrmDw9lx9kSMmIaRyVCZPim8VXe2LbfzKudmvWlAqPQzNma40blVs+1KMUZ7WQ/qJ42zFeFrXY3te8r7vBnY1tSE46j5TNmY3rpeMuC182Y1bFMr4OyO8yFbjs5LM+QbptfKRos6Es5Zg/x5dkyvnJ2ILppYzNUnmjNDp28g5STy/h+XZFI2fciV22nDzidWYb7gLunq6GdjZ5vZrTMqxeSsoYluGiPuGCmWdww7CUZYc/nZ6MjX0yx/bjiVcsl83ZiXcPWD93mrD7xs6kMb36wyBbbeUQ/Hr80+1HsJfk3Ee4KdHTL/ACcM9SriIxjOKIYeynb+M05ZV5/mxt0K3SweZQZXFCdR2PZ2adR91RNn9TEtAs20XcJ3zhLLTqPSnb+sei4McvrYhrMv28sLSD+NcodRWPLqj14q48cwOP4ti5fWYtdbOjKbm5Zz/NfbtJERZgytb2TG0WbS2ZNaT6ZJMluma02U7c0tLvf+vs6h8K4muKidcSnVLaTYq6Y5tcLy6svQU296q5RZC2bYjKOnSAaxWN457QommqnWnXaOFrQsqfonYnqxMv6PZowyZHiqySMVHovvmmxrqtW/nV3xtu9VWkk0bijHuD8qz9Ekd9Wnbl4QpsrijMq4cxdG1QUHkbqGQu+3ZSChukv1r2GfUKHeYTQrYMGsYyaMWvVikmU9ai9ONo5tH2LaTZr1VoUfo6AVPAf8VQQx5ANbjzXWzdU0kRERdS1uspGw/wCrH0uy67yy5Rirhn+eXY6pZZda7ouMFsdSNqWxARcO1vDqLtS7rblIRx0pyaqc9cUaZfj1+afaj2EvybiPcFOjpl/k4ZphlZvGlxtkenJGyJn+sQk//bTH5Ee17xxknfqNqxV75zj7Euv9OO5CybEu9qi5eZ1xRbthpxsnCWdlF3a+E4K4ZOyrstTMMCu8Xv7AtgPoeUkGHTBKvm15ykRSszibQzc5bXCjjrHLpFNZvk55ivGqEcS8k6jpDAs6/jekoqDZ3mZz7xWMgZyQRxHbLXKGQXn6lj7CseCR+prPS8ZOZ7YvYvqohl3Vq29LJ9N11sZexW8IcjJM4pg6fvsU5ou/IN81xVfVgW4izRhqojxdZZkW9isN89wru917NfzuK8f3GVZvst2UzxjeDJCFz7dkypj3HiAwhiOyntmxdwymYCtG0Mdz6KfSWW0L1pLOP80tu3Vl/wDYs4WP/wAMtQdVf/CoMYC/iWCFm3OhaGYlJVw2dJOUUXDbqZu1kytJK3qOmaHVj7BcvVMM/wA8ux1Vw6qM/b8xTj23cYXhacRJNrqtbGFpwT+ZfYVua1LudTDqF/Hr80+1HsJfkyyCrqKlWyWEcSXpZV8HLzCqdKidSdd/dO00hLqzVkHavUi/QOLWxDg+myXZTk7l7EDXIyDZ2zY2P1D2jQbGJa4PypfEmg7vFTH1uHZX6NN1g7KlkSqjm0Xlk9RN2pkxlsQ4haY4aLuXWXcNMsip0SLJlY3UNahVMIm2sAXpc03RLX5eltqSNgTdvw+AMe3LYTe4051dJJwiskrceAr+tafVkrO/QfUJeRExmrs6e7ytqSil7XtO3Zaaxq2hL9mMBZFs2YqkbMe48z/exJs5vFeLo/GsWskWZscOskW22aMLKxbmi25q30zpFX7fbL+B1btk1bhtttb3UrFJUMG1qdPd2zs4lL33lXGTfIFsNY1tGWDn+zf8VhCRuA7/ALwVXf3vi3HWXLNvOPoLKOI7zufJSE9GfcZ/xjdl+SNuLwdrMXMbbsAwc56sefvm2othCYpt2UtOw4yHlLbs6i/MmzkFWlYnUJZlNcbCW50/XxdMyUnesZGs4dg0jmOOMS3lbmVHFxSF62bE31AuYiTVwxmCxpBeu1VMVZvv1y3TuawLHi7AgUYlh+PX5p9qPYS/K120Q0Q0Q0Q0NENENENDRDQ0NENF30Q0NENENENDRdtF+3fQ0Q0WxoaIaGiGiGiGi7q/7dQwwnWWd3lRl+/30Q0NENECIiGi/Jr80+1HsJfAzLYoYR6KhrIfn1+afaj2Evklfmn2o9hL5JX5p9qPYS+SV+afaj2Evklfmn2o9hL5JX5p9qPYS+SV+afaj2Evklfmn2o9hL5JX5p9qPYS+SV+afaj2Evklfmn2o9hL5JX5p9qPYS+SV+afaj2Evklfmn2o9hL5JX5p9qPYS+SV+afaj2Evklfmn2WqIlaa6uUgOUgOUgOUgOUgOUgOUgOUgOUgOUgOUgOUgOUgOUgOUgOUgOUgOUgOUgOUgOUgOUgOUgOUgOUgOUgOUgOUgOUgOUgOUgOUgOUgOUgOUgOUgOUgOUgOUgOUgOUgOUgOUgOUgOUgOUgOUgOUgOUgOUgOUgOUgOUgOUgOUgOUgOUgOUgOUgOUgOUgOUgOUgOUgOUgOUgOUgOUgOUgOUgOUgOUgOUgOUgOUgOUgOUgOUgOUgOUgOUgOUgOUgOUgOUgOUgOUgOUgOUgOUgOUgOUgOUgOUgOUgOUgOUgOUgOUgProVqoOkVUFUDbUEDbUEDbUEDbUEDbUEDbUEDbUEDbUEDbUEDbUEDbUEDbUEDbUEDbUEDbUEDbUEDbUEDbUEDbUEDbUEDbUEDbUEDbUEDbUEDbUEDbUEDbUEDbUEDbUEDbUEDbUEDbUEDbUEDbUEDbUEDbUEDbUEDbUEDbUEDbUEDbUEDbUEDbUEDbUEDbUEDbUEDbUEDbUEDbUEDbUEDbUEDbUEDbUEDbUEDbUEDbUEDbUEDbUEDbUEDbUEDbUEDbUEDbUEDbUEDbUEDbUEDbUEDbUEDbUEDbUEDbUEDbUEDbUEDbUEDbUEDbUEDbUEDbUEDbUEDbUEDbUEDbUEDbUEDbUEDbUEDbUEDbUEDbUEDbUEDbUEDbUEDbUEDbUEDbUEDbUEDbUEDbUEDbUEDbUEKaaaf2H//xABDEAABAwEFBQcBBAYIBwAAAAABAAIDBAUREpKhEBNhYrEGFDEyQVFgQCEiU1QVQlBSgpMjM0NVcoGywgcgMDSRs9H/2gAIAQEACT8A8SjojojojojojojojojojojojojojojojojojojojojojojojojojojojojojojojojojojojojojojojojojojojojojojojojojojojojojojojojojojojojojojojojojojojojojojojojojojojojojojojojojojojojojojojojojojojojojojojojojojovXZx6fJObZx6fJObZx6fJObZx6fJObZx6fJObZx6fJObZx6fJObZx6fJObZx6fJObZx6fJObZx6fJObZx6fJObZx6fJObZx6fJObZx6fJObZx6fJObZx6fJObZx6fJObZx6fUdo6SinczGI5XLttZmddtrMzrttZv8xV8dXRy3hs0f2tJb4/sztFS1FoNLw6njde8GPz5frObZx6fUW9U0jxAyLdRxtcu1lc90FPJKGmBgBLGkq0JaSLu80u9jYHOvjXa+v/AJDFWPqooHvcJXtDXHEb/Af8/h9Bac9IZqucSmJ5aTc1TvmqJaO+SR5vc44vpPzVp9T9ZzbOPT6n0s2quyFfkKlSBkcbS9zifsAb9pKE0NKHmNhg/rZgPsLy70arQrH7sbx4gqzM9v8ACnD9JNYe61HlMnuxw/fVzbSqot6+o/CjVrVMYnG8jE1YYXEH1whTTz0wcHS01QcYfG7xdG5f0sHdWTQR+rzJ5Qq+aOmidc5scu4gi9mK16s0sbxfLHUGoY3/ABgpgZaVE4RVIHg/1EgCwPteaO+SXzCBjv8AeVaVVHvRvGCerMDsoXeZ6IOAmhqPtexhPnjcq4tcbO31NUR+mLwIKtGeutmsqg2nmm+/uIsIBLPckplqGzXMmc99Q8hpxs/cUksbY5jSmSEXzVEwNxwezFa8u9wYt0a8h6nmqYZ6plC5lR54Ji7A1SYaejjxkDxe7wDBxJKkngg+1zaWmO6jiZ7yPVqVckEH35TBVGcsHuWlBjLfpKKSWGSMYWzM8gdweHFVU8sT5ZW0ollD7n/rqtqWdm+9QPwGYBndhL94Ydr3wSQvZDPNH9sss0g8katWYTFuLdOryHqWaeB84pH94/raaRxuDuLUwybkBsUXrJJIbmtVdNHSxuIO7k7vTx4v1VbNX3eJwxTQ1RnDPbECmN/SNnSMimkHhIJAS1ytipZQQRU0rqWN9zHKokorMc4iCPfd3i/gVXUyNYQZ6SeTeMmid6scU6WhsdkhbEGy7iLN4uerVqRj+8zFNv4Jg0+5UeA1dNjey+/C5t4IVsz1TI6mtghglOONpc4sblVqVMTJhjiE1UYC4cGhSTzwNI3lNUnGHx+8b1JipquASMP+L0dxC/M2n1KaJJvJTQeBkkKrJ4qMO/Vl7rTt4MKral1KXAXul7xTycpKYI52nBVQfhyj6jm2cen1PpZtVdkK/I1CfhfUGOnBBuID1YE9bXVTgGzxva3BEB5V2Rr/AOexUT7PgmtOCUQuIJbicA//ACKpH1MDKQR1LGeZmFWJ3tsDBGJYzuprmqIxVsbcEIqgY/MfKHBNZHuoIu4sLvu/0P2gf5hWOdzLLfUUtQwt++BdiY5WTVUsFVHupmkCVjghA6mrLt5JE8uxYfAG9UcldTxWnNO6naQC7CTgAv8AQFdkK7+exdn56OvpHkb+V7XYoj4tTi99LR1MN/sxktzQoWyiyoY9yx/4s5P3tloystgGR4iMxneDN5jgVi11W7wYTdEFSimnrO0FBIYgCAwb5gATiGVtdLLIPfu7P/siiHebUlmqJ3n2a8xsGUJrXteC1zXC8EO9CpKwTtbIwMfJezDIF+bqV+S/3O20sktHNVx1kFREMe5mFxucuzpMgAa6ekIGZpTGPtt+7O7nvhe8xqR7KCGQVDnMl3IaYwftJVXU1UMc75SIgZcTj7vK7PTMiqmFk1RMQ4hi/fouj15JY6RmYqNsUFPEyKJjfAMaLgmAPkpKkHMFC1jTZ0Eh9LzI0PJTBjbaXVhXtP1TA+FlqVtQ5h9dy8vQAA+wAeiiAqrOqY8D/dkieXsoa26L+ML83aX+op5EFLRh4Z7ueux1YI6WBkZLZWAOcux9ZdUxEMe6RhDH+j1J/RTUrJAznH1HNs49PqfSzaq7IV+RqFFjljiE7GjzExlWXST15eJqV84F7m+BYF2Ss4Aeu7X/AA6pKyYVrIGVceHDiVgTSsDID3gPAbgmCsChqmTRh7JWxgEh3qCFVPjZVzPYaR5xFuEediop7Q3VUaIgPuOEOIa4kqw6fFE8xTU1QGyPCphZFRTQSTB8Trove5zSpXvo5qGSVzB5Q+FwAeqBktlstWZsscovaYpvK7Vdl7NkikaHMexgIcHeoK7EUFbV1TzdTsAa5sbfFxVgCyKers2SdlI32c8XPX4lOm4paShnnY26+90bCQP/ACFVvmbuZKyYF9zp34gMK7OWdTxxC8vMTSAPcl6LDRO7RWZFCWC5pEL2RphLKGufHNwE7fE5FOzv1kySMfET950T3l7XBVLIaanidJLI43BrGi8lUVKyy2RVNRKQw42RDyakL83Uoj/sbjndtsGSnAr5qE1M8jTGHMcWAldmaXfP/tYRunDiCFakr2vibVRfiwEOICkkjFtUMVTW85ETDhVBFaNbWY33Sm9kVzixWdRUs9ZSvpaaNkTQ8umC/Eouj17UOz8rVdWL+6qP/wBTV/eY/wBDl+9OjdTC1ayKd3tHM8sJUzJYZWB0b2G8ODvUFTtdXV08b3RjzMijUZYa6te9vM2ML83aX+oqAiKamfC9/GNdm7Nkl3EbKhpYC4StFxxhdlrOENMwuwlgBf7MHErsPFY/dY2MdUAg4yf1PqObZx6fUgGSekmjYD4XuaQFSQRUndZo8TJg43yJoc1zS1zT4EO9FUhoMpl7sX7p8TuQqrtEU7xc8PnAap2VNrf2IZ5YL+r1MyltimZcyU+SSP2ep6zu7XXNEE4cxWk6KIOF8k8u8kw+zGhUx/Rgg3QH6wP4l6tEzRknBLTS7p/8TSqmsFK/z94nDI1OKi16pobLMBcxjP3GKZlLbEEeASHySNHgx6qa1tMz7g7vUB0StAiEPBkY6XeTTAfbhVOwSSUHd6WLytGG64KmijdVPhMOB+NMDo5GOY5p9Q4XEKd08AlL6Z8MuCeIFWnVQUZuEneZw1t38CZJaAZHC8zMIY+OpYg6prqqCdlaHuDnXOlJj/zDVXmojBO4mil3c4BVVUmmxjGKmoAYFM2ptKrINVVe4Hgxns0KoZFX0VRv4d55X/dIc0lVZhsmntGCSohZV3s3QlBftnigtGQX1MDzgErx9gcFU2juQLmXTtcq4iLGHyxbzezy+zT7KRlLV0Lg+iP6jcIuwkexCNZDTueQe7TAxK3XtkER3Mb5N7IXdGBU09JZTq2H9IvZIN1NDG9UkL6AClveZA3yFFUsMrKWCdk2OTBcZCCgN9S0FNDIAbwHxsAOoUDJJ4a4SyBz8ADcJCiZHVwiTG1hxAXkkKpMBmntN7JPaSMuIVfVyUYJDO6zAsVaYYXODpy9+9nkChbFTU8QjiY30DVSRMs581a8PbMC66YnCmnC770Uo80UjfBwVdJNCfLLSS4C4c7SrRlZTA+ermvDOIaEMb/PUTnzSv8AqObZx6ftQf8AX9nJhwie1P2BzbOPT4JQwRyG++RsbQ84uLR+wObZx6fJObZx6fJObZx6fJObZx6fJObZx6fJObZx6fJObZx6fJObZx6fJObZx6fJObZx6fJObZx6fJObZx6fJObZx6fJObZx6fJObZx6fJObZx6fJObZ4BPOUqQ5SpDlKkOUqQ5SpDlKkOUqQ5SpDlKkOUqQ5SpDlKkOUqQ5SpDlKkOUqQ5SpDlKkOUqQ5SpDlKkOUqQ5SpDlKkOUqQ5SpDlKkOUqQ5SpDlKkOUqQ5SpDlKkOUqQ5SpDlKkOUqQ5SpDlKkOUqQ5SpDlKkOUqQ5SpDlKkOUqQ5SpDlKkOUqQ5SpDlKkOUqQ5SpDlKkOUqQ5SpDlKkOUqQ5SpDlKkOUqQ5SpDlKkOUqQ5SpDlKkOUqQ5SpDlKkOUqQ5SpDlKkOUqQ5SpDlKkOUqQ5SpDlKkOUqQ5SpDlKkOUqQ5SpDlKkOUqQ5SpDlKkOUqQ5SpDlKkOUqQ5SpDlKkOUqQ5SpDlKkOUqQ5SpDlKN4F/p8mGz//xAAUEQEAAAAAAAAAAAAAAAAAAACg/9oACAECAQE/ABK//8QAFBEBAAAAAAAAAAAAAAAAAAAAoP/aAAgBAwEBPwASv//Z', 'base64'),
    options => '{"model": "my_paddle_ocr_model"}'
);

-- Positional arguments
SELECT * FROM aidb.perform_ocr(
    decode('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', 'base64'),
    '{"model": "my_paddle_ocr_model"}'
);

Preparer with table data source

-- Create source test table
CREATE TABLE source_table__1527
(
    id      INT GENERATED BY DEFAULT AS IDENTITY PRIMARY KEY,
    content BYTEA NOT NULL
);
INSERT INTO source_table__1527
VALUES (1, 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'base64'));

SELECT aidb.create_table_preparer(
    name => 'preparer__1527',
    operation => 'PerformOcr',
    source_table => 'source_table__1527',
    source_data_column => 'content',
    destination_table => 'ocr_data__1527',
    destination_data_column => 'parsed__text',
    source_key_column => 'id',
    destination_key_column => 'id',
    options => '{"model": "model__1527"}'::JSONB  -- Configuration for the PerformOcr operation
);

SELECT aidb.bulk_data_preparation('preparer__1527');

SELECT * FROM ocr_data__1527;

Model compatibility

The AI accelerator data preparation pipeline validates the options at creation time, including the model compatibility with the OCR adapter. These errors are returned in that case:

-- This model does not support the OCR adapter
SELECT aidb.create_model('bert_model', 'bert_local');
-- Single execution fails
SELECT * FROM aidb.perform_ocr(
    input => decode('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', 'base64'),
    options => '{"model": "bert_model"}'
);
Output
ERROR:  The requested adapter is not supported by the model provider: bert_local
-- Preparer creation fails
SELECT aidb.create_table_preparer(
    name => 'preparer__1527',
    operation => 'PerformOcr',
    source_table => 'source_table__1527',
    source_data_column => 'content',
    destination_table => 'ocr_data__1527',
    destination_data_column => 'parsed__text',
    source_key_column => 'id',
    destination_key_column => 'id',
    options => '{"model": "bert_model"}'::JSONB  -- Incompatible model
);
Output
ERROR:  Failed to create preparer: The requested adapter is not supported by the model provider: bert_local
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