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    <title>File Formats History since 2010 on File Format Blog</title>
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    <description>Recent content in File Formats History since 2010 on File Format Blog</description>
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      <title>फ़ाइल फ़ॉर्मेट्स का इतिहास 2010 से</title>
      <link>https://blog.fileformat.com/hi/file-formats/file-formats-history-since-2010/</link>
      <pubDate>Mon, 30 Mar 2026 00:00:00 +0000</pubDate>
      
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      <description>जाँचें कि फ़ाइल फ़ॉर्मेट्स कैसे डेस्कटॉप ब्लॉब्स से खुले, क्लाउड‑नेटिव, एआई‑तैयार कंटेनरों में विकसित हुए—जिससे सहयोग, दक्षता और सुरक्षा में वृद्धि हुई।</description>
      <content:encoded><![CDATA[<h2 id="tldr">TL;DR</h2>
<p>Since 2010 file formats have gone from desktop‑centric, proprietary blobs to <strong>open, cloud‑native, and AI‑ready containers</strong>. The biggest shifts are:</p>
<ul>
<li><strong>Cloud‑first storage</strong> – formats now support streaming, partial reads, and real‑time collaboration (Google Docs, Office 365).</li>
<li><strong>Open‑standard momentum</strong> – royalty‑free codecs (AV1, AVIF, WebP) and data formats (Parquet, Arrow) dominate to avoid vendor lock‑in.</li>
<li><strong>Compression &amp; bandwidth efficiency</strong> – HEVC, AV1, JPEG‑XL, Zstandard, and Brotli cut file sizes 30‑60 % while preserving quality.</li>
<li><strong>Metadata, security, and provenance</strong> – richer XMP/EXIF, digital signatures, and encrypted containers protect integrity and meet regulatory demands.</li>
<li><strong>AI‑ready, self‑describing structures</strong> – TFRecord, Parquet, and Arrow let machines read data without custom parsers, fueling big‑data pipelines and ML workloads.</li>
</ul>
<hr>
<h2 id="why-the-past-decade-matters">Why the Past Decade Matters</h2>
<p>When you opened a file in 2010 it was usually a <strong>static, local artifact</strong>: a PDF you printed, a JPEG you emailed, or a ZIP you stored on a hard drive. Fast‑forward to 2024 and the same file might live in a <strong>cloud bucket</strong>, be edited simultaneously by dozens of users, and carry a cryptographic signature that proves who created it. This transformation is driven by three macro‑trends:</p>
<table>
<thead>
<tr>
<th>रुझान</th>
<th>फ़ॉर्मेट्स पर प्रभाव</th>
<th>वास्तविक‑दुनिया उदाहरण</th>
</tr>
</thead>
<tbody>
<tr>
<td><strong>डेस्कटॉप → क्लाउड‑नेटिव</strong></td>
<td>स्ट्रीमिंग रीड्स, पार्टियल अपडेट्स, और सहयोगी मेटाडाटा की आवश्यकता।</td>
<td>Google Docs प्रत्येक दस्तावेज़ को JSON‑आधारित कंटेनर के रूप में संग्रहीत करता है जिसे कई उपयोगकर्ता रियल‑टाइम में संपादित कर सकते हैं।</td>
</tr>
<tr>
<td><strong>ओपन‑सोर्स &amp; ओपन‑स्टैंडर्ड</strong></td>
<td>फ़ॉर्मेट रॉयल्टी‑फ्री, इंटरऑपरेबल, और भविष्य‑सुरक्षित बनते हैं।</td>
<td>AV1 वीडियो कोडेक (रॉयल्टी‑फ्री) अब YouTube की 4K स्ट्रीम्स को शक्ति देता है, महंगे H.264/HEVC लाइसेंसों की जगह ले रहा है।</td>
</tr>
<tr>
<td><strong>कम्प्रेशन &amp; बैंडविड्थ</strong></td>
<td>4K/8K वीडियो, HDR इमेजेज, और बड़े डेटा सेट्स के लिए उच्च दक्षता।</td>
<td>Apple की HEIC फ़ोटो JPEG की तुलना में लगभग आधी आकार की होती हैं, जिससे iPhone की स्टोरेज लाइफ़ बढ़ती है।</td>
</tr>
</tbody>
</table>
<p>These forces ripple through every domain—documents, images, audio, video, archives, and big‑data containers—forcing standards bodies (ISO, W3C, IETF, AOM) to iterate faster than ever.</p>
<hr>
<h2 id="document--data-formats-from-pdfs-to-parquet">Document &amp; Data Formats: From PDFs to Parquet</h2>
<h3 id="documents-go-secure-searchable-and-multimediarich">Documents go <strong>secure, searchable, and multimedia‑rich</strong></h3>
<ul>
<li><strong>PDF 2.0 (ISO 32000‑2, 2021)</strong> added stronger cryptography, richer XMP metadata, and better accessibility. It also introduced PDF/A‑4 for long‑term archiving with embedded provenance.</li>
<li><strong>Office Open XML (OOXML)</strong> kept pace with real‑time co‑authoring in Office 365, embedding cloud‑linked assets directly in the file package.</li>
<li><strong>OpenDocument Format (ODF)</strong> gained traction in European public administrations thanks to EU mandates for open, royalty‑free standards.</li>
<li><strong>ePub 3.x</strong> turned e‑books into full‑blown web pages (HTML5, MathML, audio/video), enabling interactive textbooks and audiobooks.</li>
</ul>
<h3 id="bigdata-pipelines-migrated-to-selfdescribing-columnar-containers">Big‑data pipelines migrated to <strong>self‑describing, columnar containers</strong></h3>
<ul>
<li><strong>Parquet</strong> became the de‑facto storage format for Spark, Hive, and Presto, offering predicate push‑down and efficient compression.</li>
<li><strong>Apache Arrow</strong> introduced a language‑agnostic, in‑memory columnar layout that enables zero‑copy data exchange between Python, Java, and Rust.</li>
<li><strong>Avro</strong> and <strong>ORC</strong> remain popular for streaming (Kafka) and Hive workloads, respectively, because they store the schema alongside the data, simplifying evolution.</li>
</ul>
<p>The net result? A document or dataset can travel across clouds, be indexed by AI, and retain its full audit trail without a proprietary lock‑in.</p>
<hr>
<h2 id="images-audio--video-the-compression-arms-race">Images, Audio &amp; Video: The Compression Arms Race</h2>
<h3 id="images--hdr-animation-and-progressive-decoding">Images – <strong>HDR, animation, and progressive decoding</strong></h3>
<ul>
<li><strong>HEIF/HEIC (2015)</strong> leveraged HEVC compression to halve JPEG file sizes while supporting 16‑bit depth and HDR. Apple made it the default on iOS 11, pushing the ecosystem toward wider‑gamut photos.</li>
<li><strong>AVIF (2020‑2024)</strong>, built on the AV1 codec, now offers 50 % size reduction versus JPEG with lossless and HDR support. Chrome, Firefox, and Android all ship native decoders.</li>
<li><strong>JPEG‑XL (2022)</strong> promises lossless + lossy modes, progressive rendering, and superior compression over WebP and AVIF, and is already used by Cloudflare for image delivery.</li>
<li><strong>WebP</strong> added animation, lossless improvements, and ICC profile support in version 1.2, making it the go‑to format for web graphics on Chrome and Android.</li>
</ul>
<h3 id="audio--lowlatency-and-lossless-streaming">Audio – <strong>Low‑latency and lossless streaming</strong></h3>
<ul>
<li><strong>Opus (RFC 6716, 2012)</strong> became the default codec for WebRTC, Discord, and Zoom, delivering high‑quality voice at sub‑64 kbps with sub‑10 ms latency.</li>
<li><strong>FLAC</strong> saw a resurgence as premium services (Tidal, Qobuz) added lossless tiers, while <strong>ALAC</strong> became royalty‑free after Apple open‑sourced it in 2011.</li>
<li>Emerging <strong>MPEG‑H 3D Audio</strong> and <strong>Dolby Atmos ADM</strong> are laying the groundwork for spatial‑audio files that can be streamed alongside video.</li>
</ul>
<h3 id="video--from-h264-dominance-to-royaltyfree-av1">Video – <strong>From H.264 dominance to royalty‑free AV1</strong></h3>
<ul>
<li><strong>HEVC/H.265 (2013)</strong> cut bitrate by ~50 % versus H.264, enabling 4K and 8K streaming on limited bandwidth.</li>
<li><strong>VP9 (2013)</strong> and <strong>AV1 (spec released 2018, production use 2020+)</strong> offered royalty‑free alternatives; AV1 now enjoys hardware acceleration on Intel Xe, Nvidia RTX 40, and Apple Silicon.</li>
<li><strong>HEVC‑SCC (2023)</strong> optimized screen‑content coding for remote desktops and cloud gaming, reducing artifacts on text and UI elements.</li>
<li><strong>Container convergence</strong>: ISO‑BMFF (MP4) and <strong>WebM</strong> now both support multiple codecs, subtitles, and HDR metadata, simplifying adaptive‑bitrate streaming (MPEG‑DASH, HLS).</li>
</ul>
<p>Across the board, the push for <strong>higher compression, HDR, and royalty‑free licensing</strong> has reshaped what we can deliver over mobile networks and what devices can decode natively.</p>
<hr>
<h2 id="whats-next-aiembedded-provenancefirst-and-unified-containers">What’s Next? AI‑Embedded, Provenance‑First, and Unified Containers</h2>
<ul>
<li><strong>AI‑ready formats</strong> – Draft <strong>PDF 3.0</strong> (2024) proposes embedded inference graphs, allowing searchable scanned text without separate OCR pipelines.</li>
<li><strong>Blockchain‑backed provenance</strong> – Projects like <strong>IPFS CAR</strong> files embed Merkle‑tree hashes, enabling tamper‑evident distribution for scientific data and digital art.</li>
<li><strong>Spatial‑audio containers</strong> – <strong>MPEG‑H 3D Audio</strong> and <strong>Dolby Atmos ADM</strong> are moving from broadcast to consumer streaming, demanding new file wrappers that carry object‑based audio metadata.</li>
<li><strong>Unified Media Container (UMC) concepts</strong> – Discussions in the ISO‑BMFF working group aim to create a single container that can hold video, audio, subtitles, 3D geometry (glTF), and AR metadata, reducing the “format juggling” in immersive experiences.</li>
<li><strong>Post‑quantum signatures</strong> – Early experiments embed Dilithium or Falcon signatures into PDF/A‑4 and ODF, preparing for a future where classic RSA/ECDSA may be vulnerable.</li>
</ul>
<p>For developers and content creators, the takeaway is clear: <strong>choose open, self‑describing formats now</strong>. They’ll be easier to secure, cheaper to license, and ready for the AI‑driven pipelines that will dominate the next decade.</p>
<hr>
<h2 id="quick-cheatsheet-at-a-glance">Quick Cheat‑Sheet (At a Glance)</h2>
<table>
<thead>
<tr>
<th>डोमेन</th>
<th>2010‑2015</th>
<th>2016‑2020</th>
<th>2021‑2024</th>
</tr>
</thead>
<tbody>
<tr>
<td><strong>Images</strong></td>
<td>JPEG, PNG, शुरुआती WebP</td>
<td>HEIF/HEIC, AVIF (बीटा)</td>
<td>AVIF 1.1, JPEG‑XL, WebP 1.2</td>
</tr>
<tr>
<td><strong>Video</strong></td>
<td>H.264, VP8, शुरुआती HEVC</td>
<td>VP9, AV1 (स्पेक), HEVC मुख्यधारा</td>
<td>AV1 व्यापक, VVC शुरुआती, HEVC‑SCC</td>
</tr>
<tr>
<td><strong>Audio</strong></td>
<td>AAC, MP3, FLAC</td>
<td>Opus, ALAC ओपन‑सोर्स, FLAC वृद्धि</td>
<td>Opus 1.3, MPEG‑H 3D Audio</td>
</tr>
<tr>
<td><strong>Documents</strong></td>
<td>PDF 1.7, ODF 1.2</td>
<td>PDF 2.0, OOXML 2016, EPUB 3</td>
<td>PDF 3.0 draft, ODF 1.4, EPUB 4 (draft)</td>
</tr>
<tr>
<td><strong>Archives</strong></td>
<td>ZIP, RAR, 7z</td>
<td>Zstandard, Brotli, LZ4</td>
<td>Zstd 1.5+, Brotli 1.1</td>
</tr>
<tr>
<td><strong>Big Data</strong></td>
<td>CSV, JSON, XML</td>
<td>Parquet, Arrow, Avro</td>
<td>Delta Lake, Iceberg, Feather v2</td>
</tr>
<tr>
<td><strong>3D/AR</strong></td>
<td>OBJ, FBX</td>
<td>glTF 2.0, USDZ</td>
<td>USD v23, glTF‑KTX2 (compressed textures)</td>
</tr>
</tbody>
</table>
<p><em>If you’re still storing everything as a plain ZIP, it’s time to upgrade. Pick a format that matches the medium (cloud, mobile, AI) and the future will thank you.</em></p>
<hr>
<p><strong>टैग्स:</strong> #file-formats #tech-history #cloud-native<br>
<strong>स्लग:</strong> file-formats-history-2010-2024</p>
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