{"id":1315,"date":"2026-06-26T15:59:40","date_gmt":"2026-06-26T15:59:40","guid":{"rendered":"https:\/\/convly.ai\/tools\/"},"modified":"2026-08-28T06:35:03","modified_gmt":"2026-08-28T06:35:03","slug":"tools","status":"publish","type":"page","link":"https:\/\/convly.ai\/fr\/tools\/","title":{"rendered":"Outils, calculateurs et donn\u00e9es IA gratuits"},"content":{"rendered":"<p>Convly d\u00e9veloppe des outils gratuits sans inscription et des donn\u00e9es originales pour vous aider \u00e0 choisir, ex\u00e9cuter et budg\u00e9tiser vos mod\u00e8les d\u2019IA. Tout ce qui est pr\u00e9sent\u00e9 ici s\u2019ex\u00e9cute sur notre infrastructure en direct <a href=\"\/fr\/models\/\">base de donn\u00e9es de mod\u00e8les<\/a> et reste constamment \u00e0 jour.<\/p>\n<h2> Calculateurs gratuits<\/h2>\n<ul>\n<li><strong><a href=\"\/fr\/llm-vram-calculator\/\">Puis-je ex\u00e9cuter ce LLM ? \u2014 Calculateur de VRAM<\/a><\/strong><br \/>S\u00e9lectionnez un mod\u00e8le et votre GPU, puis d\u00e9couvrez quels mod\u00e8les peuvent \u00eatre ex\u00e9cut\u00e9s localement et \u00e0 quelle quantification.<\/li>\n<li><strong><a href=\"\/fr\/ai-api-cost-calculator\/\">Calculateur de co\u00fbts des API IA<\/a><\/strong><br \/>Indiquez votre consommation mensuelle de jetons et comparez le co\u00fbt r\u00e9el de chaque mod\u00e8le payant pr\u00e9sent dans la base de donn\u00e9es, du moins cher au plus cher.<\/li>\n<li><strong><a href=\"\/fr\/self-hosting-vs-api-calculator\/\">Calculateur du seuil de rentabilit\u00e9 entre h\u00e9bergement local et API<\/a><\/strong><br \/>D\u00e9couvrez pr\u00e9cis\u00e9ment \u00e0 partir de quel moment l\u2019achat d\u2019un GPU pour un h\u00e9bergement local devient plus avantageux que le paiement \u00e0 l\u2019usage (par jeton) via une API.<\/li>\n<\/ul>\n<h2> Outils d\u2019images et de prompts<\/h2>\n<ul>\n<li><strong><a href=\"\/fr\/image-to-prompt\/\">G\u00e9n\u00e9rateur IA d\u2019image vers prompt<\/a><\/strong><br \/>T\u00e9l\u00e9versez n\u2019importe quelle image g\u00e9n\u00e9r\u00e9e par une IA et obtenez un prompt d\u00e9taill\u00e9, une analyse du style, ainsi que les param\u00e8tres pr\u00eats \u00e0 l\u2019emploi pour Midjourney et Stable Diffusion afin de recr\u00e9er ce rendu.<\/li>\n<\/ul>\n<h2> Donn\u00e9es et r\u00e9f\u00e9rences<\/h2>\n<ul>\n<li><strong><a href=\"\/fr\/models\/\">Base de donn\u00e9es de mod\u00e8les d\u2019IA<\/a><\/strong> \u2014 42 mod\u00e8les avec leurs sp\u00e9cifications compl\u00e8tes, leurs tarifs en temps r\u00e9el et leurs exigences mat\u00e9rielles locales (VRAM).<\/li>\n<li><strong><a href=\"\/fr\/compare-ai-models-and-gpus-2026\/\">Comparer les mod\u00e8les d\u2019IA et les GPU n\u00e9cessaires pour les ex\u00e9cuter<\/a><\/strong> \u2014 une seule page qui associe chaque choix de mod\u00e8le au mat\u00e9riel r\u00e9ellement requis.<\/li>\n<li><strong><a href=\"\/fr\/category\/ai-comparisons\/\">Comparaisons de mod\u00e8les<\/a><\/strong> \u2014 Pages \u00ab X contre Y \u00bb fond\u00e9es sur des donn\u00e9es objectives, avec un verdict clair.<\/li>\n<\/ul>\n<h2> \u00c9tudes originales (libres de citation)<\/h2>\n<ul>\n<li><a href=\"\/fr\/ai-price-performance-index-2026\/\">Indice 2026 de rapport prix-performance en IA<\/a> \u2014 Quel mod\u00e8le vous offre le plus d\u2019intelligence pour chaque dollar d\u00e9pens\u00e9.<\/li>\n<li><a href=\"\/fr\/open-vs-closed-ai-cost-gap-2026\/\">IA ouverte contre IA ferm\u00e9e : l\u2019\u00e9cart r\u00e9el de co\u00fbts<\/a> \u2014 Les mod\u00e8les \u00e0 poids ouverts sont en moyenne environ 16 fois moins chers.<\/li>\n<\/ul>","protected":false},"excerpt":{"rendered":"<p>Convly builds free, no-signup tools and original data to help you choose, run, and budget AI models. Everything here runs [\u2026]<\/p>\n","protected":false},"author":0,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"class_list":["post-1315","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/convly.ai\/fr\/wp-json\/wp\/v2\/pages\/1315","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/convly.ai\/fr\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/convly.ai\/fr\/wp-json\/wp\/v2\/types\/page"}],"replies":[{"embeddable":true,"href":"https:\/\/convly.ai\/fr\/wp-json\/wp\/v2\/comments?post=1315"}],"version-history":[{"count":4,"href":"https:\/\/convly.ai\/fr\/wp-json\/wp\/v2\/pages\/1315\/revisions"}],"predecessor-version":[{"id":2422,"href":"https:\/\/convly.ai\/fr\/wp-json\/wp\/v2\/pages\/1315\/revisions\/2422"}],"wp:attachment":[{"href":"https:\/\/convly.ai\/fr\/wp-json\/wp\/v2\/media?parent=1315"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}